Mengjie Zhang

According to our database1, Mengjie Zhang authored at least 654 papers between 1999 and 2021.

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Bibliography

2021
A Duplication Analysis-Based Evolutionary Algorithm for Biobjective Feature Selection.
IEEE Trans. Evol. Comput., 2021

Genetic Programming With Image-Related Operators and a Flexible Program Structure for Feature Learning in Image Classification.
IEEE Trans. Evol. Comput., 2021

Evolving Scheduling Heuristics via Genetic Programming With Feature Selection in Dynamic Flexible Job-Shop Scheduling.
IEEE Trans. Cybern., 2021

People-Centric Evolutionary System for Dynamic Production Scheduling.
IEEE Trans. Cybern., 2021

A New Binary Particle Swarm Optimization Approach: Momentum and Dynamic Balance Between Exploration and Exploitation.
IEEE Trans. Cybern., 2021

Genetic Programming With a New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification.
IEEE Trans. Cybern., 2021

A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data.
Soft Comput., 2021

Output-based transfer learning in genetic programming for document classification.
Knowl. Based Syst., 2021

Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier].
IEEE Comput. Intell. Mag., 2021

Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification.
Appl. Soft Comput., 2021

2020
Completely Automated CNN Architecture Design Based on Blocks.
IEEE Trans. Neural Networks Learn. Syst., 2020

A Survey of Evolutionary Computation for Web Service Composition: A Technical Perspective.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

Evolving Deep Convolutional Neural Networks for Image Classification.
IEEE Trans. Evol. Comput., 2020

Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor.
IEEE Trans. Evol. Comput., 2020

Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms.
IEEE Trans. Evol. Comput., 2020

Multiobjective Multitasking Optimization Based on Incremental Learning.
IEEE Trans. Evol. Comput., 2020

Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification.
IEEE Trans. Cybern., 2020

A survey on swarm intelligence approaches to feature selection in data mining.
Swarm Evol. Comput., 2020

Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism.
Soft Comput., 2020

Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks.
Knowl. Based Syst., 2020

Multi-objective feature selection using hybridization of a genetic algorithm and direct multisearch for key quality characteristic selection.
Inf. Sci., 2020

A non-specialized ensemble classifier using multi-objective optimization.
Neurocomputing, 2020

Multi-objective genetic programming for manifold learning: balancing quality and dimensionality.
Genet. Program. Evolvable Mach., 2020

Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems.
Evol. Comput., 2020

A Predictive-Reactive Approach with Genetic Programming and Cooperative Coevolution for the Uncertain Capacitated Arc Routing Problem.
Evol. Comput., 2020

Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis.
Evol. Comput., 2020

Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning.
CoRR, 2020

A Survey on Evolutionary Neural Architecture Search.
CoRR, 2020

Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification.
CoRR, 2020

A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems.
CoRR, 2020

Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions.
CoRR, 2020

Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation.
CoRR, 2020

Conference Report on 2019 IEEE Congress on Evolutionary Computation (IEEE CEC 2019) [Conference Reports].
IEEE Comput. Intell. Mag., 2020

An Effective Feature Learning Approach Using Genetic Programming With Image Descriptors for Image Classification [Research Frontier].
IEEE Comput. Intell. Mag., 2020

Special Issue on Evolutionary Computer Vision, Image Processing and Pattern Recognition.
Appl. Soft Comput., 2020

A survey on feature selection approaches for clustering.
Artif. Intell. Rev., 2020

Towards Interpretable Routing Policy: A Two Stage Multi-Objective Genetic Programming Approach with Feature Selection for Uncertain Capacitated Arc Routing Problem.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

GPCNN: Evolving Convolutional Neural Networks using Genetic Programming.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Adaptive Search Space through Evolutionary Hyper-Heuristics for the Large-Scale Vehicle Routing Problem.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A GPHH with Surrogate-assisted Knowledge Transfer for Uncertain Capacitated Arc Routing Problem.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Diversity-driven Knowledge Transfer for GPHH to Solve Uncertain Capacitated Arc Routing Problem.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Novel Genetic Algorithm Approach to Simultaneous Feature Selection and Instance Selection.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Data Imputation for Symbolic Regression with Missing Values: A Comparative Study.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

A Graph-Based Approach to Automatic Convolutional Neural Network Construction for Image Classification.
Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020

Effective Linear Policy Gradient Search through Primal-Dual Approximation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A preliminary approach to evolutionary multitasking for dynamic flexible job shop scheduling via genetic programming.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Segmented initialization and offspring modification in evolutionary algorithms for bi-objective feature selection.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Adaptive weighted splines: a new representation to genetic programming for symbolic regression.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Neural architecture search for sparse DenseNets with dynamic compression.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Relatedness measures to aid the transfer of building blocks among multiple tasks.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A memetic level-based learning swarm optimizer for large-scale water distribution network optimization.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Improving generalisation of AutoML systems with dynamic fitness evaluations.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Automatically extracting features for face classification using multi-objective genetic programming.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Evolving network structures for text classification using genetic algorithms.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A genetic programming approach to feature construction for ensemble learning in skin cancer detection.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Improving symbolic regression based on correlation between residuals and variables.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2020

Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling.
Proceedings of the Genetic Programming - 23rd European Conference, 2020

Hessian Complexity Measure for Genetic Programming-Based Imputation Predictor Selection in Symbolic Regression with Incomplete Data.
Proceedings of the Genetic Programming - 23rd European Conference, 2020

Particle Swarm optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Multi-Objective Genetic Programming Hyper-Heuristic Approach to Uncertain Capacitated Arc Routing Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Region Adaptive Image Classification Approach Using Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Cluster-based Hyper-Heuristic for Large-Scale Vehicle Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Hybridising Particle Swarm optimisation with Differential Evolution for Feature Selection in Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Genetic Programming-Based Feature Learning for Facial Expression Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Genetic Programming Hyper-Heuristics with Probabilistic Prototype Tree Knowledge Transfer for Uncertain Capacitated Arc Routing Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Parametric Framework for Genetic Programming with Transfer Learning for Uncertain Capacitated Arc Routing Problem.
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values.
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

2019
A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2019

Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification.
ACM Trans. Knowl. Discov. Data, 2019

Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification.
IEEE Trans. Evol. Comput., 2019

A New Two-Stage Evolutionary Algorithm for Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2019

Structural Risk Minimization-Driven Genetic Programming for Enhancing Generalization in Symbolic Regression.
IEEE Trans. Evol. Comput., 2019

Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators.
IEEE Trans. Evol. Comput., 2019

Genetic programming with transfer learning for texture image classification.
Soft Comput., 2019

Bayesian genetic programming for edge detection.
Soft Comput., 2019

Genetic programming for multiple-feature construction on high-dimensional classification.
Pattern Recognit., 2019

Figure-ground image segmentation using feature-based multi-objective genetic programming techniques.
Neural Comput. Appl., 2019

GP-based methods for domain adaptation: using brain decoding across subjects as a test-case.
Genet. Program. Evolvable Mach., 2019

Domain-independent severely noisy image segmentation via adaptive wavelet shrinkage using particle swarm optimization and fuzzy C-means.
Expert Syst. Appl., 2019

A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules.
Evol. Comput., 2019

Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification.
CoRR, 2019

Evolving Ensembles of Routing Policies using Genetic Programming for Uncertain Capacitated Arc Routing Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Two-Stage Genetic Programming Hyper-Heuristic for Uncertain Capacitated Arc Routing Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Multitasking Genetic Programming for Stochastic Team Orienteering Problem with Time Windows.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-Based Scoring Function for Re-ranking Peptide-Spectrum Matches.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

A Novel Genetic Programming Algorithm with Knowledge Transfer for Uncertain Capacitated Arc Routing Problem.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

The Evolution of Adjacency Matrices for Sparsity of Connection in DenseNets.
Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019

Genetic Programming for Multiple Feature Construction in Skin Cancer Image Classification.
Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019

A two-stage genetic programming hyper-heuristic approach with feature selection for dynamic flexible job shop scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Evolving deep neural networks by multi-objective particle swarm optimization for image classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Novel ensemble genetic programming hyper-heuristics for uncertain capacitated arc routing problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Adaptive multi-subswarm optimisation for feature selection on high-dimensional classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Improvement of code fragment fitness to guide feature construction in XCS.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Population-based ensemble classifier induction for domain adaptation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Transfer learning: a building block selection mechanism in genetic programming for symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

What's inside the black-box?: a genetic programming method for interpreting complex machine learning models.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

An automated ensemble learning framework using genetic programming for image classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Genetic programming hyper-heuristic with knowledge transfer for uncertain capacitated arc routing problem.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Differential evolution for instance based transfer learning in genetic programming for symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

A New Representation in Genetic Programming for Evolving Dispatching Rules for Dynamic Flexible Job Shop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2019

GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry Using Genetic Algorithm.
Proceedings of the Applications of Evolutionary Computation, 2019

Genetic Programming for Feature Selection and Feature Combination in Salient Object Detection.
Proceedings of the Applications of Evolutionary Computation, 2019

Can Genetic Programming Do Manifold Learning Too?
Proceedings of the Genetic Programming - 22nd European Conference, 2019

Evolving Dispatching Rules for Multi-objective Dynamic Flexible Job Shop Scheduling via Genetic Programming Hyper-heuristics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Can Stochastic Dispatching Rules Evolved by Genetic Programming Hyper-heuristics Help in Dynamic Flexible Job Shop Scheduling?
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Blocky Net: A New NeuroEvolution Method.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Lightweight Evolution Strategies for Nanoswimmers-oriented In Vivo Computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Genetic Programming with Rademacher Complexity for Symbolic Regression.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Multi-Round Random Subspace Feature Selection for Incomplete Gene Expression Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Online Feature-Generation of Code Fragments for XCS to Guide Feature Construction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Active Sampling for Dynamic Job Shop Scheduling using Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Graph-Based Encoding for Evolutionary Convolutional Neural Network Architecture Design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Genetic Programming based Transfer Learning for Document Classification with Self-taught and Ensemble Learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Learning to Rank Peptide-Spectrum Matches Using Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Transfer Learning in Genetic Programming Hyper-heuristic for Solving Uncertain Capacitated Arc Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Multi-tree Genetic Programming with A New Fitness Function for Melanoma Detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Instance based Transfer Learning for Genetic Programming for Symbolic Regression.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

A Decomposition Based Multi-objective Genetic Programming Algorithm for Classification of Highly Imbalanced Tandem Mass Spectrometry.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2018
Feature Map Quality Score Estimation Through Regression.
IEEE Trans. Image Process., 2018

A Divide-and-Conquer-Based Ensemble Classifier Learning by Means of Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2018

A New Representation in PSO for Discretization-Based Feature Selection.
IEEE Trans. Cybern., 2018

An effective and efficient approach to classification with incomplete data.
Knowl. Based Syst., 2018

Differential evolution for filter feature selection based on information theory and feature ranking.
Knowl. Based Syst., 2018

Pareto front feature selection based on artificial bee colony optimization.
Inf. Sci., 2018

Evolutionary computation for automatic Web service composition: an indirect representation approach.
J. Heuristics, 2018

Guest editorial: special issue on automated design and adaptation of heuristics for scheduling and combinatorial optimisation.
Genet. Program. Evolvable Mach., 2018

Automatically Evolving CNN Architectures Based on Blocks.
CoRR, 2018

Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization.
CoRR, 2018

Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification.
CoRR, 2018

An Adaptive Clipping Approach for Proximal Policy Optimization.
CoRR, 2018

Fast Unsupervised Edge Detection Using Genetic Programming [Application Notes].
IEEE Comput. Intell. Mag., 2018

Improving performance of classification on incomplete data using feature selection and clustering.
Appl. Soft Comput., 2018

An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling.
Appl. Soft Comput., 2018

Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018


Sampling Heuristics for Multi-objective Dynamic Job Shop Scheduling Using Island Based Parallel Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Foreground and Background Feature Fusion Using a Convex Hull Based Center Prior for Salient Object Detection.
Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018

The Optimized Selection of Base-Classifiers for Ensemble Classification using a Multi-Objective Genetic Algorithm.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Constrained Expectation-Maximization Methods for Effective Reinforcement Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Hybrid Memetic Approach for Fully Automated Multi-Objective Web Service Composition.
Proceedings of the 2018 IEEE International Conference on Web Services, 2018

Feature construction in genetic programming hyper-heuristic for dynamic flexible job shop scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

NEAT for large-scale reinforcement learning through evolutionary feature learning and policy gradient search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Adaptive charting genetic programming for dynamic flexible job shop scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Genetic programming hyper-heuristic for multi-vehicle uncertain capacitated arc routing problem.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Automatically evolving difficult benchmark feature selection datasets with genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2018

An Automatic Feature Extraction Approach to Image Classification Using Genetic Programming.
Proceedings of the Applications of Evolutionary Computation, 2018

Genetic Programming Hyper-Heuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling.
Proceedings of the Genetic Programming - 21st European Conference, 2018

Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling.
Proceedings of the Genetic Programming - 21st European Conference, 2018

Generating Redundant Features with Unsupervised Multi-tree Genetic Programming.
Proceedings of the Genetic Programming - 21st European Conference, 2018

Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

An Experimental Study on Hyper-parameter Optimization for Stacked Auto-Encoders.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Genetic Programming Hyper-Heuristic for Stochastic Team Orienteering Problem with Time Windows.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Evolutionary Deep Learning: A Genetic Programming Approach to Image Classification.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Decomposition Based Multi-Objective Evolutionary Algorithm in XCS for Multi-Objective Reinforcement Learning.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Genetic Programming for Preprocessing Tandem Mass Spectra to Improve the Reliability of Peptide Identification.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Surrogate-Assisted Genetic Programming for Dynamic Flexible Job Shop Scheduling.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Genetic Programming with Multi-tree Representation for Dynamic Flexible Job Shop Scheduling.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Co-evolution of Novel Tree-Like ANNs and Activation Functions: An Observational Study.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Adaptive Reference Point Generation for Many-Objective Optimization Using NSGA-III.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

An Improved Genetic Programming Hyper-Heuristic for the Uncertain Capacitated Arc Routing Problem.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

A Gaussian Filter-Based Feature Learning Approach Using Genetic Programming to Image Classification.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

A Multi-tree Genetic Programming Representation for Melanoma Detection Using Local and Global Features.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

A Genetic Programming Approach for Constructing Foreground and Background Saliency Features for Salient Object Detection.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

Guest Editorial: Special Issue on Emergent Topics in Artificial Immune Systems.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification.
IEEE Trans. Evol. Comput., 2017

Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression.
IEEE Trans. Evol. Comput., 2017

Keypoints Detection and Feature Extraction: A Dynamic Genetic Programming Approach for Evolving Rotation-Invariant Texture Image Descriptors.
IEEE Trans. Evol. Comput., 2017

Automatically Evolving Rotation-Invariant Texture Image Descriptors by Genetic Programming.
IEEE Trans. Evol. Comput., 2017

Surrogate-Assisted Genetic Programming With Simplified Models for Automated Design of Dispatching Rules.
IEEE Trans. Cybern., 2017

Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Extending XCS with Cyclic Graphs for Scalability on Complex Boolean Problems.
Evol. Comput., 2017

Image feature selection using genetic programming for figure-ground segmentation.
Eng. Appl. Artif. Intell., 2017

A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification.
CoRR, 2017

Evolving Deep Convolutional Neural Networks for Image Classification.
CoRR, 2017

Genetic programming for evolving figure-ground segmentors from multiple features.
Appl. Soft Comput., 2017

A classification method based on self-adaptive artificial bee colony.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A differential evolution based feature selection approach using an improved filter criterion.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A supervised feature weighting method for salient object detection using particle swarm optimization.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Effective Policy Gradient Search for Reinforcement Learning Through NEAT Based Feature Extraction.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

New Representations in Genetic Programming for Feature Construction in k-Means Clustering.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Transductive Transfer Learning in Genetic Programming for Document Classification.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

An automatic region detection and processing approach in genetic programming for binary image classification.
Proceedings of the 2017 International Conference on Image and Vision Computing New Zealand, 2017

A sandpile model for reliable actor-critic reinforcement learning.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Genetic programming based feature construction for classification with incomplete data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Multiple imputation and genetic programming for classification with incomplete data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Fragment-based genetic programming for fully automated multi-objective web service composition.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Automated state feature learning for actor-critic reinforcement learning through NEAT.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Multiple reference points MOEA/D for feature selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Automated heuristic design using genetic programming hyper-heuristic for uncertain capacitated arc routing problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Learning figure-ground image segmentors by genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Improving <i>k</i>-means clustering with genetic programming for feature construction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Toward evolving dispatching rules for dynamic job shop scheduling under uncertainty.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Evolving texture image descriptors using a multitree genetic programming representation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Bagging and Feature Selection for Classification with Incomplete Data.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

Using Particle Swarm Optimisation and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

Using Feature Clustering for GP-Based Feature Construction on High-Dimensional Data.
Proceedings of the Genetic Programming - 20th European Conference, 2017

Evolving Time-Invariant Dispatching Rules in Job Shop Scheduling with Genetic Programming.
Proceedings of the Genetic Programming - 20th European Conference, 2017

Geometric Semantic Crossover with an Angle-Aware Mating Scheme in Genetic Programming for Symbolic Regression.
Proceedings of the Genetic Programming - 20th European Conference, 2017

Genetic programming for solving common and domain-independent generic recursive problems.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Common subtrees in related problems: A novel transfer learning approach for genetic programming.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

A PSO-based hyper-heuristic for evolving dispatching rules in job shop scheduling.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Particle Swarm Optimisation with genetic operators for feature selection.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Genetic programming for skin cancer detection in dermoscopic images.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Class Dependent Multiple Feature Construction Using Genetic Programming for High-Dimensional Data.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017

Genetic Programming for Multi-objective Test Data Generation in Search Based Software Testing.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017

Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017

Binary PSO for Web Service Location-Allocation.
Proceedings of the Artificial Life and Computational Intelligence, 2017

Investigating the Generality of Genetic Programming Based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown.
Proceedings of the Artificial Life and Computational Intelligence, 2017

A PSO-Based Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling.
Proceedings of the Artificial Life and Computational Intelligence, 2017

Wrapper Feature Construction for Figure-Ground Image Segmentation Using Genetic Programming.
Proceedings of the Artificial Life and Computational Intelligence, 2017

2016
A Survey on Evolutionary Computation Approaches to Feature Selection.
IEEE Trans. Evol. Comput., 2016

Accuracy-Based Learning Classifier Systems for Multistep Reinforcement Learning: A Fuzzy Logic Approach to Handling Continuous Inputs and Learning Continuous Actions.
IEEE Trans. Evol. Comput., 2016

Automated Design of Production Scheduling Heuristics: A Review.
IEEE Trans. Evol. Comput., 2016

Genetic programming for QoS-aware web service composition and selection.
Soft Comput., 2016

New mechanism for archive maintenance in PSO-based multi-objective feature selection.
Soft Comput., 2016

Genetic programming for edge detection: a Gaussian-based approach.
Soft Comput., 2016

Learning feature fusion strategies for various image types to detect salient objects.
Pattern Recognit., 2016

Contextual-based top-down saliency feature weighting for target detection.
Mach. Vis. Appl., 2016

Genetic programming for feature construction and selection in classification on high-dimensional data.
Memetic Comput., 2016

Improving performance for classification with incomplete data using wrapper-based feature selection.
Evol. Intell., 2016

Foreword: special issue on evolutionary computer vision and pattern recognition.
Evol. Intell., 2016

Binary Image Classification: A Genetic Programming Approach to the Problem of Limited Training Instances.
Evol. Comput., 2016

Investigation on particle swarm optimisation for feature selection on high-dimensional data: local search and selection bias.
Connect. Sci., 2016

Dimension reduction in classification using particle swarm optimisation and statistical variable grouping information.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Multiple feature construction in classification on high-dimensional data using GP.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Severely noisy image segmentation via wavelet shrinkage using PSO and Fuzzy C-Means.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Particle swarm optimisation representations for simultaneous clustering and feature selection.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A Differential Evolution Approach to Feature Selection and Instance Selection.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

A Profile-Based Authorship Attribution Approach to Forensic Identification in Chinese Online Messages.
Proceedings of the Intelligence and Security Informatics - 11th Pacific Asia Workshop, 2016

A dynamic feature map integration approach for predicting human fixation.
Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand, 2016

Proceedings in Adaptation, Learning and Optimization.
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

Proceedings in Adaptation, Learning and Optimization.
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

Proceedings in Adaptation, Learning and Optimization.
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

Proceedings in Adaptation, Learning and Optimization.
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

Generalized Compatible Function Approximation for Policy Gradient Search.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Evolutionary Computation for Feature Selection and Feature Construction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

A Graph-based QoS-Aware Method for Web Service Composition with Branching.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling: An Investigation into Distance Metrics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Feature Selection in Evolving Job Shop Dispatching Rules with Genetic Programming.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Fast Bi-Objective Feature Selection Using Entropy Measures and Bayesian Inference.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Human-inspired Scaling in Learning Classifier Systems: Case Study on the n-bit Multiplexer Problem Set.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

A Wrapper Feature Selection Approach to Classification with Missing Data.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

Bare-Bone Particle Swarm Optimisation for Simultaneously Discretising and Selecting Features for High-Dimensional Classification.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

Particle Swarm Optimization for Multi-Objective Web Service Location Allocation.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2016

Particle Swarm Optimisation with Sequence-Like Indirect Representation for Web Service Composition.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2016

A Variable Local Search Based Memetic Algorithm for the Load Balancing Problem in Cloud Computing.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

A Multi-objective Genetic Programming Biomarker Detection Approach in Mass Spectrometry Data.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

A Genetic Programming-Based Imputation Method for Classification with Missing Data.
Proceedings of the Genetic Programming - 19th European Conference, 2016

Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches.
Proceedings of the Genetic Programming - 19th European Conference, 2016

Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data.
Proceedings of the Genetic Programming - 19th European Conference, 2016

Handling Branched Web Service Composition with a QoS-Aware Graph-Based Method.
Proceedings of the E-Commerce and Web Technologies - 17th International Conference, 2016

Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2016, 2016

Evolutionary web service composition: A graph-based memetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Evolutionary computation for feature manipulation: Key challenges and future directions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A PSO based hybrid feature selection algorithm for high-dimensional classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Directly evolving classifiers for missing data using genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A memetic algorithm-based indirect approach to web service composition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Improving job shop dispatching rules via terminal weighting and adaptive mutation in genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Genetic programming for evolving programs with recursive structures.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Maximising total weighted number of activities for reservation with slack.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Evolutionary scheduling and combinatorial optimisation: Applications, challenges, and future directions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A comprehensive analysis on reusability of GP-evolved job shop dispatching rules.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Many-objective genetic programming for job-shop scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Figure-ground image segmentation using genetic programming and feature selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Further investigation on genetic programming with transfer learning for symbolic regression.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

An XCS-based algorithm for multi-objective reinforcement learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Improving generalisation of genetic programming for high-dimensional symbolic regression with feature selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Evolutionary computer vision and image processing: Some FAQs, current challenges and future perspectives.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Evolutionary algorithms for classification of mammographie densities using local binary patterns and statistical features.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Compaction for code fragment based learning classifier systems - Redux.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Improving classification on images by extracting and transferring knowledge in genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A genetic programming approach to distributed execution of data-intensive web service compositions.
Proceedings of the Australasian Computer Science Week Multiconference, 2016

Optimization of Location Allocation of Web Services Using a Modified Non-dominated Sorting Genetic Algorithm.
Proceedings of the Artificial Life and Computational Intelligence, 2016

A Subset Similarity Guided Method for Multi-objective Feature Selection.
Proceedings of the Artificial Life and Computational Intelligence, 2016

A New Modification of Fuzzy C-Means via Particle Swarm Optimization for Noisy Image Segmentation.
Proceedings of the Artificial Life and Computational Intelligence, 2016

Multi-objective Genetic Programming for Figure-Ground Image Segmentation.
Proceedings of the Artificial Life and Computational Intelligence, 2016

Parallel Multi-objective Job Shop Scheduling Using Genetic Programming.
Proceedings of the Artificial Life and Computational Intelligence, 2016

Compaction for Code Fragment Based Learning Classifier Systems.
Proceedings of the Artificial Life and Computational Intelligence, 2016

2015
A Hybrid Approach Using Genetic Programming and Greedy Search for QoS-Aware Web Service Composition.
Trans. Large Scale Data Knowl. Centered Syst., 2015

Using Learning Classifier Systems to Learn Stochastic Decision Policies.
IEEE Trans. Evol. Comput., 2015

Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling.
IEEE Trans. Cybern., 2015

Population statistics for particle swarm optimization: Hybrid methods in noisy optimization problems.
Swarm Evol. Comput., 2015

Population statistics for particle swarm optimization: Single-evaluation methods in noisy optimization problems.
Soft Comput., 2015

Distribution-based invariant feature construction using genetic programming for edge detection.
Soft Comput., 2015

Improving genetic search in XCS-based classifier systems through understanding the evolvability of classifier rules.
Soft Comput., 2015

Nature-Inspired Algorithms for Real-World Optimization Problems.
J. Appl. Math., 2015

A Comprehensive Comparison on Evolutionary Feature Selection Approaches to Classification.
Int. J. Comput. Intell. Appl., 2015

An on-line Pittsburgh LCS for the Three-Cornered Coevolution Framework.
Evol. Intell., 2015

A binary ABC algorithm based on advanced similarity scheme for feature selection.
Appl. Soft Comput., 2015

A hybrid Genetic Programming approach to feature detection and image classification.
Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015

Pixel characteristics based feature extraction approach for roadside object detection.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A Heuristic Solution for Noisy Image Segmentation using Particle Swarm Optimization and Fuzzy Clustering.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

Reinforcement Learning in Continuous Spaces by Using Learning Fuzzy Classifier Systems.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Domain Generalization for Object Recognition with Multi-task Autoencoders.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Evolutionary Image Analysis, Signal Processing and Pattern Recognition.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Multiple Imputation for Missing Data Using Genetic Programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

A Single Population Genetic Programming based Ensemble Learning Approach to Job Shop Scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

A Dispatching rule based Genetic Algorithm for Order Acceptance and Scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Evolutionary Image Descriptor: A Dynamic Genetic Programming Representation for Feature Extraction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Gaussian Transformation Based Representation in Particle Swarm Optimisation for Feature Selection.
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

Hyper-heuristic Operator Selection and Acceptance Criteria.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2015

A Supervised Figure-Ground Segmentation Method Using Genetic Programming.
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

Using Local Search to Evaluate Dispatching Rules in Dynamic Job Shop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2015

Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling.
Proceedings of the Genetic Programming - 18th European Conference, 2015

GraphEvol: A Graph Evolution Technique for Web Service Composition.
Proceedings of the Database and Expert Systems Applications, 2015

F-MOGP: A novel many-objective evolutionary approach to QoS-aware data intensive web service composition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Impact of imputation of missing values on Genetic programming based multiple feature construction for classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A GP approach to QoS-aware Web service composition including conditional constraints.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Enhancing genetic programming based hyper-heuristics for dynamic multi-objective job shop scheduling problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Genetic Programming for algae detection in river images.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Code coverage optimisation in genetic algorithms and particle swarm optimisation for automatic software test data generation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A multi-objective artificial bee colony approach to feature selection using fuzzy mutual information.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Generalisation and domain adaptation in GP with gradient descent for symbolic regression.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Particle swarm optimisation for feature selection: A hybrid filter-wrapper approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Image descriptor: A genetic programming approach to multiclass texture classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Genetic Programming for Extracting Edge Features Using Two Blocks.
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015

Particle Swarm Optimisation for Feature Selection: A Size-Controlled Approach.
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015

2014
Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming.
IEEE Trans. Evol. Comput., 2014

Reusing Genetic Programming for Ensemble Selection in Classification of Unbalanced Data.
IEEE Trans. Evol. Comput., 2014

Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems.
IEEE Trans. Evol. Comput., 2014

Low-Level Feature Extraction for Edge Detection Using Genetic Programming.
IEEE Trans. Cybern., 2014

Population statistics for particle swarm optimization: Resampling methods in noisy optimization problems.
Swarm Evol. Comput., 2014

Deception, blindness and disorientation in particle swarm optimization applied to noisy problems.
Swarm Intell., 2014

Binary PSO and Rough Set Theory for Feature Selection: a Multi-objective filter Based Approach.
Int. J. Comput. Intell. Appl., 2014

Genetic Programming for Evolving Due-Date Assignment Models in Job Shop Environments.
Evol. Comput., 2014

Human-Interpretable Feature Pattern Classification System Using Learning Classifier Systems.
Evol. Comput., 2014

Improving feature ranking for biomarker discovery in proteomics mass spectrometry data using genetic programming.
Connect. Sci., 2014

Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms.
Appl. Soft Comput., 2014

A Hybrid GP-Tabu Approach to QoS-Aware Data Intensive Web Service Composition.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Multi-objective Feature Selection in Classification: A Differential Evolution Approach.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Overview of Particle Swarm Optimisation for Feature Selection in Classification.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Improved PSO for Feature Selection on High-Dimensional Datasets.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

A GP Approach to QoS-Aware Web Service Composition and Selection.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Enhancing Heuristics for Order Acceptance and Scheduling Using Genetic Programming.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Selection Schemes in Surrogate-Assisted Genetic Programming for Job Shop Scheduling.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

PSO and Statistical Clustering for Feature Selection: A New Representation.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Developing a Hyper-Heuristic Using Grammatical Evolution and the Capacitated Vehicle Routing Problem.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

A Comparison between Two Evolutionary Hyper-Heuristics for Combinatorial Optimisation.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Image Segmentation: A Survey of Methods Based on Evolutionary Computation.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Automatic Resolution Selection for Edge Detection Using Genetic Programming.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Reusing Learned Functionality to Address Complex Boolean Functions.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Genetic Programming for Multiclass Texture Classification Using a Small Number of Instances.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Genetic Programming for Measuring Peptide Detectability.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Domain Adaptive Neural Networks for Object Recognition.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

Genetic Programming Evolved Filters from a Small Number of Instances for Multiclass Texture Classification.
Proceedings of the 29th International Conference on Image and Vision Computing New Zealand, 2014

Optimizing configuration of neural ensemble network for breast cancer diagnosis.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Information Divergence Based Saliency Detection with a Global Center-Surround Mechanism.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Stochastic Decision Making in Learning Classifier Systems through a Natural Policy Gradient Method.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Deep hybrid networks with good out-of-sample object recognition.
Proceedings of the IEEE International Conference on Acoustics, 2014

Differential evolution (DE) for multi-objective feature selection in classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Three-cornered coevolution learning classifier systems for classification tasks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Hyper-heuristics, grammatical evolution and the capacitated vehicle routing problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Evolving "less-myopic" scheduling rules for dynamic job shop scheduling with genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Reusing learned functionality in XCS: code fragments with constructed functionality and constructed features.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Multiple feature construction for effective biomarker identification and classification using genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Prediction of detectable peptides in MS data using genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Salient object detection using learning classifiersystems that compute action mappings.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

A New Binary Particle Swarm Optimisation Algorithm for Feature Selection.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

Gaussian Based Particle Swarm Optimisation and Statistical Clustering for Feature Selection.
Proceedings of the Evolutionary Computation in Combinatorial Optimisation, 2014

Is a Single Image Sufficient for Evolving Edge Features by Genetic Programming?
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

New Representations in PSO for Feature Construction in Classification.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

GPMS: A Genetic Programming Based Approach to Multiple Alignment of Liquid Chromatography-Mass Spectrometry Data.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

Practice and Theory of Blendshape Facial Models.
Proceedings of the 35th Annual Conference of the European Association for Computer Graphics, 2014

Enhancing Branch-and-Bound Algorithms for Order Acceptance and Scheduling with Genetic Programming.
Proceedings of the Genetic Programming - 17th European Conference, 2014

An Enhanced Genetic Algorithm for Web Service Location-Allocation.
Proceedings of the Database and Expert Systems Applications, 2014

A Genetic Programming approach to distributed QoS-aware web service composition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

An archive based particle swarm optimisation for feature selection in classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A graph-based Particle Swarm Optimisation approach to QoS-aware web service composition and selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A sequential genetic programming method to learn forward construction heuristics for order acceptance and scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Filter based backward elimination in wrapper based PSO for feature selection in classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Evolving machine-specific dispatching rules for a two-machine job shop using genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Unsupervised learning for edge detection using Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A hybrid discrete particle swarm optimisation method for grid computation scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A new GP-based wrapper feature construction approach to classification and biomarker identification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Dynamic Multi-objective Job Shop Scheduling: A Genetic Programming Approach.
Proceedings of the Automated Scheduling and Planning - From Theory to Practice, 2013

Parent Selection Pressure Auto-Tuning for Tournament Selection in Genetic Programming.
IEEE Trans. Evol. Comput., 2013

A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem.
IEEE Trans. Evol. Comput., 2013

Evolving Diverse Ensembles Using Genetic Programming for Classification With Unbalanced Data.
IEEE Trans. Evol. Comput., 2013

Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach.
IEEE Trans. Cybern., 2013

A performance study on synchronicity and neighborhood size in particle swarm optimization.
Soft Comput., 2013

Evolving optimum populations with XCS classifier systems - XCS with code fragmented action.
Soft Comput., 2013

A novel particle swarm optimisation approach to detecting continuous, thin and smooth edges in noisy images.
Inf. Sci., 2013

Multi-objective Evolutionary Algorithms for filter Based Feature Selection in Classification.
Int. J. Artif. Intell. Tools, 2013

Adaptive artificial datasets through learning classifier systems for classification tasks.
Evol. Intell., 2013

Learning complex, overlapping and niche imbalance Boolean problems using XCS-based classifier systems.
Evol. Intell., 2013

Hybrid evolutionary computation methods for quay crane scheduling problems.
Comput. Oper. Res., 2013

Special Issue on Computational Intelligence in Computer Vision and Image Processing [Guest Editorial].
IEEE Comput. Intell. Mag., 2013

A new image segmentation algorithm based on modified seeded region growing and particle swarm optimization.
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

A feature-based region growing-merging approach to color image segmentation.
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

Sparse representations in deep learning for noise-robust digit classification.
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

Gaussian mixture models and information entropy for image segmentation using particle swarm optimisation.
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

Investigation of low-level edge feature extraction using three blocks.
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

Binary image classification using genetic programming based on local binary patterns.
Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013

PSO for feature construction and binary classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Optimal computing budget allocation in particle swarm optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Adaptive artificial datasets to discover the effects of domain features for classification tasks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Comparison of two methods for computing action values in XCS with code-fragment actions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Extending learning classifier system with cyclic graphs for scalability on complex, large-scale boolean problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Genetic programming for edge detection using multivariate density.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Comparing ensemble learning approaches in genetic programming for classification with unbalanced data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Novel Initialisation and Updating Mechanisms in PSO for Feature Selection in Classification.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

Automatic Construction of Gaussian-Based Edge Detectors Using Genetic Programming.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

Genetic Programming for Automatic Construction of Variant Features in Edge Detection.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2013

Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2013

Learning Reusable Initial Solutions for Multi-objective Order Acceptance and Scheduling Problems with Genetic Programming.
Proceedings of the Genetic Programming - 16th European Conference, 2013

Genetic Programming with Greedy Search for Web Service Composition.
Proceedings of the Database and Expert Systems Applications, 2013

An adaptive genetic programming approach to QoS-aware web services composition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Feature selection based on PSO and decision-theoretic rough set model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Evolutionary spatial auto-correlation for assessing earthquake liquefaction potential using Parallel Linear Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Resampling in Particle Swarm Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Genetic programming for order acceptance and scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

The effect of primitive sets on the expression of evolved images.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Learning overlapping natured and niche imbalance boolean problems using XCS classifier systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Triangular-distribution-based feature construction using Genetic Programming for edge detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Binary particle swarm optimisation and rough set theory for dimension reduction in classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Hybridisation of Genetic Programming and Nearest Neighbour for classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Enhanced feature selection for biomarker discovery in LC-MS data using GP.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Evolving Stochastic Dispatching Rules for Order Acceptance and Scheduling via Genetic Programming.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

Particle Swarm Optimisation and Statistical Clustering for Feature Selection.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

A One-Shot Learning Approach to Image Classification Using Genetic Programming.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

2012
Developing New Fitness Functions in Genetic Programming for Classification With Unbalanced Data.
IEEE Trans. Syst. Man Cybern. Part B, 2012

A Filter Approach to Multiple Feature Construction for Symbolic Learning Classifiers Using Genetic Programming.
IEEE Trans. Evol. Comput., 2012

Impacts of sampling strategies in tournament selection for genetic programming.
Soft Comput., 2012

Adapting modularity during learning in cooperative co-evolutionary recurrent neural networks.
Soft Comput., 2012

Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction.
Neurocomputing, 2012

On the issue of separability for problem decomposition in cooperative neuro-evolution.
Neurocomputing, 2012

Parallel linear genetic programming for multi-class classification.
Genet. Program. Evolvable Mach., 2012

Two-Tier genetic programming: towards raw pixel-based image classification.
Expert Syst. Appl., 2012

A multi-objective particle swarm optimisation for filter-based feature selection in classification problems.
Connect. Sci., 2012

Genetic programming for detecting target motions.
Connect. Sci., 2012

Crossover-based local search in cooperative co-evolutionary feedforward neural networks.
Appl. Soft Comput., 2012

Evaporation Mechanisms for Particle Swarm Optimization.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

A Genetic Programming Approach to Hyper-Heuristic Feature Selection.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

Figure of Merit Based Fitness Functions in Genetic Programming for Edge Detection.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

Application of Cooperative Convolution Optimization for 13C Metabolic Flux Analysis: Simulation of Isotopic Labeling Patterns Based on Tandem Mass Spectrometry Measurements.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

A Particle Swarm Optimisation Based Multi-objective Filter Approach to Feature Selection for Classification.
Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

Opinion Target Extraction for Short Comments.
Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

Genetic programming for improving image descriptors generated using the scale-invariant feature transform.
Proceedings of the Image and Vision Computing New Zealand, 2012

Multi-frequency transformation for edge detection.
Proceedings of the Image and Vision Computing New Zealand, 2012

Multi-objective particle swarm optimisation (PSO) for feature selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

A spatial random-meaningful neighbourhood topology in pso for edge detection in noisy images.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Two-cornered learning classifier systems for pattern generation and classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Extracting and using building blocks of knowledge in learning classifier systems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Genetic programming for edge detection based on figure of merit.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Genetic programming for edge detection using blocks to extract features.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

XCS-based versus UCS-based feature pattern classification system.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Evolving Reusable Operation-Based Due-Date Assignment Models for Job Shop Scheduling with Genetic Programming.
Proceedings of the Genetic Programming - 15th European Conference, 2012

Improving Relevance Measures Using Genetic Programming.
Proceedings of the Genetic Programming - 15th European Conference, 2012

New fitness functions in binary particle swarm optimisation for feature selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Effects of static and dynamic topologies in Particle Swarm Optimisation for edge detection in noisy images.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

A performance study on the effects of noise and evaporation in Particle Swarm Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

A coevolution genetic programming method to evolve scheduling policies for dynamic multi-objective job shop scheduling problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Scalability analysis of genetic programming classifiers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Soft edge maps from edge detectors evolved by genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Genetic programming for edge detection via balancing individual training images.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Binary particle swarm optimisation for feature selection: A filter based approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Extracting image features for classification by two-tier genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Evolving Genetic Programming classifiers with loop structures.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Local Search in Parallel Linear Genetic Programming for Multiclass Classification.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

Opponent's Style Modeling Based on Situations for Bayesian Poker.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

XCSR with Computed Continuous Action.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

Automatic Construction of Invariant Features Using Genetic Programming for Edge Detection.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

A Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

Genetic Programming for Biomarker Detection in Mass Spectrometry Data.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

Single Feature Ranking and Binary Particle Swarm Optimisation Based Feature Subset Ranking for Feature Selection.
Proceedings of the Thirty-Fifth Australasian Computer Science Conference, 2012

2011
Guest Editorial: special issue on evolutionary optimisation and learning.
Soft Comput., 2011

Depth-control strategies for crossover in tree-based genetic programming.
Soft Comput., 2011

Particle swarm optimisation based AdaBoost for object detection.
Soft Comput., 2011

Encoding subcomponents in cooperative co-evolutionary recurrent neural networks.
Neurocomputing, 2011

Using genetic programming for context-sensitive feature scoring in classification problems.
Connect. Sci., 2011

Experience of Teaching Computational Intelligence in an Undergraduate Level Course [Educational Forum].
IEEE Comput. Intell. Mag., 2011

Modularity adaptation in cooperative coevolution of feedforward neural networks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A memetic framework for cooperative coevolution of recurrent neural networks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Random Asynchronous PSO.
Proceedings of the 5th International Conference on Automation, Robotics and Applications, 2011

Developing an evolvable pattern generator using learning classifier systems.
Proceedings of the 5th International Conference on Automation, Robotics and Applications, 2011

Automatic feature extraction and image classification using genetic programming.
Proceedings of the 5th International Conference on Automation, Robotics and Applications, 2011

Genetic programming for evolving programs with loop structures for classification tasks.
Proceedings of the 5th International Conference on Automation, Robotics and Applications, 2011

Attraction based PSO with sphere search for dynamic constrained multi-objective optimization problems.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Detection of continuous, smooth and thin edges in noisy images using constrained particle swarm optimisation.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

A performance study on synchronous and asynchronous updates in particle swarm optimization.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

A genetic programming based hyper-heuristic approach for combinatorial optimisation.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Confusion matrices for improving performance of feature pattern classifier systems.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Automatically defined functions for learning classifier systems.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Hybrid particle swarm optimisation based on history information sharing.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Caching for parallel linear genetic programming.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Evolving ensembles in multi-objective genetic programming for classification with unbalanced data.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Transparent, Online Image Pattern Classification Using a Learning Classifier System.
Proceedings of the Applications of Evolutionary Computation, 2011

A Hybrid Particle Swarm Optimisation with Differential Evolution Approach to Image Segmentation.
Proceedings of the Applications of Evolutionary Computation, 2011

Parallel Linear Genetic Programming.
Proceedings of the Genetic Programming - 14th European Conference, 2011

A memetic particle swarm optimization for constrained multi-objective optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Edge detection using constrained discrete particle swarm optimisation in noisy images.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Genetic programming for edge detection: A global approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Meta-learning and feature ranking using genetic programming for classification: Variable terminal weighting.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Execution trace caching for Linear Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

A domain independent Genetic Programming approach to automatic feature extraction for image classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Simplex Model Based Evolutionary Algorithm for Dynamic Multi-Objective Optimization.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

Investigating Particle Swarm Optimisation Topologies for Edge Detection in Noisy Images.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

Eliminating Useless Object Detectors Evolved in Multiple-Objective Genetic Programming.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

Improving Robustness of Multiple-Objective Genetic Programming for Object Detection.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

Genetic Programming for Edge Detection Based on Accuracy of Each Training Image.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

Ensemble Learning and Pruning in Multi-Objective Genetic Programming for Classification with Unbalanced Data.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

2010
Particle swarm optimisation for outlier detection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

New crossover operators in linear genetic programming for multiclass object classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

AUC analysis of the pareto-front using multi-objective GP for classification with unbalanced data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Particle Swarm Optimization for Coverage Maximization and Energy Conservation in Wireless Sensor Networks.
Proceedings of the Applications of Evolutionary Computation, 2010

Analysis of Building Blocks with Numerical Simplification in Genetic Programming.
Proceedings of the Genetic Programming, 13th European Conference, 2010

A Relaxed Approach to Simplification in Genetic Programming.
Proceedings of the Genetic Programming, 13th European Conference, 2010

Genetic Programming for Classification with Unbalanced Data.
Proceedings of the Genetic Programming, 13th European Conference, 2010

Contribution based bloat control in Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Multi-Objective Genetic Programming for object detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Using unrestricted loops in genetic programming for image classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Investigation of simplification threshold and noise level of input data in numerical simplification of genetic programs.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Evolution of aesthetically pleasing images without human-in-the-loop.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Edge and Corner Extraction Using Particle Swarm Optimisation.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

Sampling Methods in Genetic Programming for Classification with Unbalanced Data.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

Hybrid Particle Swarm Optimisation Algorithms Based on Differential Evolution and Local Search.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

An Encoding Scheme for Cooperative Coevolutionary Feedforward Neural Networks.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

A Comparison of Classification Strategies in Genetic Programming with Unbalanced Data.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

2009
Genetic Programming for Object Detection: a Two-phase Approach with an Improved Fitness Function.
Proceedings of the Progress in Computer Vision and Image Analysis, 2009

Evolving More Representative Programs with Genetic Programming.
Int. J. Softw. Eng. Knowl. Eng., 2009

Special issue on simulated evolution and learning.
Evol. Intell., 2009

Numerical simplification for bloat control and analysis of building blocks in genetic programming.
Evol. Intell., 2009

Evolutionary computer vision.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Bloat control in genetic programming by evaluating contribution of nodes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Pareto front feature selection: using genetic programming to explore feature space.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Particle swarm optimization based multi-prototype ensembles.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

How online simplification affects building blocks in genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Genetic Programming for Feature Subset Ranking in Binary Classification Problems.
Proceedings of the Genetic Programming, 12th European Conference, 2009

Solving the forward kinematics of the 3RPR planar parallel manipulator using a hybrid meta-heuristic paradigm.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2009

Particle Swarm Optimization based Adaboost for face detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Differentiating between individual class performance in Genetic Programming fitness for classification with unbalanced data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Balancing Parent and Offspring Selection in Genetic Programming.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

Unsupervised Elimination of Redundant Features Using Genetic Programming.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

Multi-Objective Genetic Programming for Classification with Unbalanced Data.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

An Analysis and Evaluation of the Saving Capability and Feasibility of Backward-Chaining Evolutionary Algorithms.
Proceedings of the Artificial Life: Borrowing from Biology, 4th Australian Conference, 2009

2008
Genetic Programming for detecting rhythmic stress in spoken English.
Int. J. Knowl. Based Intell. Eng. Syst., 2008

Explicitly Simplifying Evolved Genetic Programs during Evolution.
Int. J. Comput. Intell. Appl., 2008

Detecting data records in semi-structured web sites based on text token clustering.
Integr. Comput. Aided Eng., 2008

Genetic programming for medical classification: a program simplification approach.
Genet. Program. Evolvable Mach., 2008

Genetic Programming for Feature Ranking in Classification Problems.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

A PSO Based Adaboost Approach to Object Detection.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

Using Numerical Simplification to Control Bloat in Genetic Programming.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

An analysis of multi-sampled issue and no-replacement tournament selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Cooperative Particle Swarm Optimization for the Delay Constrained Least Cost Path Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2008

Object Detection Using Neural Networks and Genetic Programming.
Proceedings of the Applications of Evolutionary Computing, 2008

Genetic Programming and Class-Wise Orthogonal Transformation for Dimension Reduction in Classification Problems.
Proceedings of the Genetic Programming, 11th European Conference, 2008

Is the not-sampled issue in tournament selection critical?
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

An analysis of the distribution of swapped subtree sizes in tree-based genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

SCHEME: Caching subtrees in genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Empirical analysis of schemata in Genetic Programming using maximal schemata and MSG.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Genetic programming for performance improvement and dimensionality reduction of classification problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Evaluation of particle swarm optimization based centroid classifier with different distance metrics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
A New Crossover Operator in Genetic Programming for Object Classification.
IEEE Trans. Syst. Man Cybern. Part B, 2007

Improving Object Detection Performance with Genetic Programming.
Int. J. Artif. Intell. Tools, 2007

A linear structured approach and a refined fitness function in genetic programming for multi-class object classification.
Connect. Sci., 2007

Automatic Data Record Detection in Web Pages.
Proceedings of the Knowledge Science, 2007

An analysis of constructive crossover and selection pressure in genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Another investigation on tournament selection: modelling and visualisation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Numerical-node building block analysis of genetic programming with simplification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Overview of Object Detection and Image Analysis by Means of Genetic Programming Techniques.
Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies 2007, 2007

Genetic Programming for Image Recognition: An LGP Approach.
Proceedings of the Applications of Evolutinary Computing, 2007

Empirical Analysis of GP Tree-Fragments.
Proceedings of the Genetic Programming, 10th European Conference, 2007

An analysis of depth of crossover points in tree-based Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Genetic Programming for New Zealand CPI Inflation Prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Effects of program simplification on simple building blocks in Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Fitness Functions in Genetic Programming for Classification with Unbalanced Data.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

Feature Construction and Dimension Reduction Using Genetic Programming.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

2006
Using Gaussian distribution to construct fitness functions in genetic programming for multiclass object classification.
Pattern Recognit. Lett., 2006

Genetic Programming for Object Detection: Improving Fitness Functions and Optimising Training Data.
IEEE Intell. Informatics Bull., 2006

Data Extraction from Semi-structured Web Pages by Clustering.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Online Program Simplification in Genetic Programming.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Refining Fitness Functions and Optimising Training Data in GP for Object Detection.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Investigation of Brood Size in GP with Brood Recombination Crossover for Object Recognition.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Modelling Citation Networks for Improving Scientific Paper Classification Performance.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Automatic Selection Pressure Control in Genetic Programming.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

Neural Networks for Scientific Paper Classification.
Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006

Algebraic simplification of GP programs during evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Localisation Fitness in GP for Object Detection.
Proceedings of the Applications of Evolutionary Computing, 2006

Genetic Programming for Automatic Stress Detection in Spoken English.
Proceedings of the Applications of Evolutionary Computing, 2006

Population Clustering in Genetic Programming.
Proceedings of the Genetic Programming, 9th European Conference, 2006

Looseness Controlled Crossover in GP for Object Recognition.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

A Study of Good Predecessor Programs for Reducing Fitness Evaluation Cost in Genetic Programming.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

GP for Object Classification: Brood Size in Brood Recombination Crossover.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

TreeWrapper: Automatic Data Extraction Based on Tree Representation.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

Information Extraction from A Whole Web Site.
Proceedings of the Advances in Intelligent IT, 2006

2005
Mining Small Objects in Large Images Using Neural Networks.
Proceedings of the Foundations of Data Mining and knowledge Discovery, 2005

A new approach to multiple class pattern classification with random matrices.
Adv. Decis. Sci., 2005

Program Simplification in Genetic Programming for Object Classification.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Learning Weights in Genetic Programs Using Gradient Descent for Object Recognition.
Proceedings of the Applications of Evolutionary Computing, 2005

Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems.
Proceedings of the Genetic Programming, 8th European Conference, 2005

Linear Genetic Programming for Multi-class Object Classification.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

Evolving While-Loop Structures in Genetic Programming for Factorial and Ant Problems.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004
Automatic Pattern Construction For Web Information Extraction.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2004

Neural Networks And Genetic Algorithms For Domain Independent Multiclass Object Detection.
Int. J. Comput. Intell. Appl., 2004

A Knowledge Learning Approach to Information Extraction from Multiple Text Based Web Sites.
Int. J. Artif. Intell. Tools, 2004

Probability Based Genetic Programming for Multiclass Object Classification.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

False Alarm Filter in Neural Networks for Multiclass Object Detection.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

A Two Phase Genetic Programming Approach to Object Detection.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Multiclass Object Classification Using Genetic Programming.
Proceedings of the Applications of Evolutionary Computing, 2004

Program Size and Pixel Statistics in Genetic Programming for Object Detection.
Proceedings of the Applications of Evolutionary Computing, 2004

Genetic Programming with Gradient Descent Search for Multiclass Object Classification.
Proceedings of the Genetic Programming, 7th European Conference, 2004

Detecting Stress in Spoken English using Decision Trees and Support Vector Machines.
Proceedings of the ACSW Frontiers 2004, 2004 ACSW Workshops, 2004

Applying Online Gradient Descent Search to Genetic Programming for Object Recognition.
Proceedings of the ACSW Frontiers 2004, 2004 ACSW Workshops, 2004

Learning Models for English Speech Recognition.
Proceedings of the Computer Science 2004, 2004

2003
A Domain-Independent Window Approach to Multiclass Object Detection Using Genetic Programming.
EURASIP J. Adv. Signal Process., 2003

Learning Information Extraction Patterns from Tabular Web Pages without Manual Labelling.
Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

Learning Knowledge Bases for Information Extraction from Multiple Text Based Web Sites.
Proceedings of the 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT 2003), 2003

Pixel Statistics and False Alarm Area in Genetic Programming for Object Detection.
Proceedings of the Applications of Evolutionary Computing, 2003

1999
Using Back Propagation Algorithm and Genetic Algorithm to Train and Refine Neural Networks for Object Detection.
Proceedings of the Database and Expert Systems Applications, 10th International Conference, 1999

Genetic Programming for Multiple Class Object Detection.
Proceedings of the Advanced Topics in Artificial Intelligence, 1999


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