Yaochu Jin

Orcid: 0000-0003-1100-0631

Affiliations:
  • Bielefeld University, Germany


According to our database1, Yaochu Jin authored at least 565 papers between 1995 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2016, "For contributions to evolutionary optimization".

Timeline

Legend:

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Online presence:

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Bibliography

2024
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing.
IEEE Trans. Cybern., May, 2024

Newly Elected CIS Administrative Committee Members [Society Briefs].
IEEE Comput. Intell. Mag., May, 2024

Don't Play Games, Optimize [President's Message].
IEEE Comput. Intell. Mag., May, 2024

Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

A Surrogate-Assisted Expensive Constrained Multi-Objective Optimization Algorithm Based on Adaptive Switching of Acquisition Functions.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

A New Multitask Joint Learning Framework for Expensive Multi-Objective Optimization Problems.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

A Knowledge-Based Cooperative Co-Evolutionary Algorithm for Non-Contact Voltage Measurement.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment.
IEEE Trans. Evol. Comput., April, 2024

A Multiagent Cooperative Learning System With Evolution of Social Roles.
IEEE Trans. Evol. Comput., April, 2024

Guest Editorial Special Issue on Learning Theories and Methods With Application to Digitized Process Manufacturing.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

DRL-Searcher: A Unified Approach to Multirobot Efficient Search for a Moving Target.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Cross-modality Neuroimage Synthesis: A Survey.
ACM Comput. Surv., March, 2024

Evolving Dual-Threshold Bienenstock-Cooper-Munro Learning Rules in Echo State Networks.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Neural Architecture Search via Multi-Hashing Embedding and Graph Tensor Networks for Multilingual Text Classification.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

A Secure Federated Data-Driven Evolutionary Multi-Objective Optimization Algorithm.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Evolutionary Multi-Objective Bayesian Optimization Based on Multisource Online Transfer Learning.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Large-Scale Multiobjective Optimization via Reformulated Decision Variable Analysis.
IEEE Trans. Evol. Comput., February, 2024

Deep Industrial Image Anomaly Detection: A Survey.
Mach. Intell. Res., February, 2024

Even Search in a Promising Region for Constrained Multi-Objective Optimization.
IEEE CAA J. Autom. Sinica, February, 2024

Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues.
ACM Comput. Surv., February, 2024

CIS-ing in an Uncertain World [President's Message].
IEEE Comput. Intell. Mag., February, 2024

Alleviating Search Bias in Bayesian Evolutionary Optimization With Many Heterogeneous Objectives.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024

Reinforcement Learning for Online Dispatching Policy in Real-Time Train Timetable Rescheduling.
IEEE Trans. Intell. Transp. Syst., January, 2024

Privacy-preserving federated Bayesian optimization with learnable noise.
Inf. Sci., January, 2024

Integrating Visual Perception With Decision Making in Neuromorphic Fault-Tolerant Quadruplet-Spike Learning Framework.
IEEE Trans. Syst. Man Cybern. Syst., 2024

Lightweight Structure-Aware Transformer Network for Remote Sensing Image Change Detection.
IEEE Geosci. Remote. Sens. Lett., 2024

A Composite Decomposition Method for Large-Scale Global Optimization.
CoRR, 2024

Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling.
CoRR, 2024

Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection.
CoRR, 2024

EmoDM: A Diffusion Model for Evolutionary Multi-objective Optimization.
CoRR, 2024

Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling.
CoRR, 2024

Reinforcement Learning for Scalable Train Timetable Rescheduling with Graph Representation.
CoRR, 2024

A Novel Dual-Stage Evolutionary Algorithm for Finding Robust Solutions.
CoRR, 2024

Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality.
CoRR, 2024

Robust Long-Tailed Image Classification via Adversarial Feature Re-Calibration.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023
Surrogate-Assisted Differential Evolution With Adaptive Multisubspace Search for Large-Scale Expensive Optimization.
IEEE Trans. Evol. Comput., December, 2023

A Decomposition Method for Both Additively and Nonadditively Separable Problems.
IEEE Trans. Evol. Comput., December, 2023

Decomposition-Based Multiobjective Optimization for Variable-Length Mixed-Variable Pareto Optimization and Its Application in Cloud Service Allocation.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023

Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping.
IEEE Trans. Cybern., November, 2023

An adaptive n-gram transformer for multi-scale scene text recognition.
Knowl. Based Syst., November, 2023

Design and analysis of helper-problem-assisted evolutionary algorithm for constrained multiobjective optimization.
Inf. Sci., November, 2023

A self-adaptive dynamic multi-objective optimization algorithm based on transfer learning and elitism-based mutation.
Neurocomputing, November, 2023

Surrogate-Assisted Many-Objective Optimization of Building Energy Management.
IEEE Comput. Intell. Mag., November, 2023

A Surrogate-Assisted Evolutionary Framework With Regions of Interests-Based Data Selection for Expensive Constrained Optimization.
IEEE Trans. Syst. Man Cybern. Syst., October, 2023

Surrogate-Assisted Cooperative Co-evolutionary Reservoir Architecture Search for Liquid State Machines.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

Surrogate-Assisted Evolutionary Q-Learning for Black-Box Dynamic Time-Linkage Optimization Problems.
IEEE Trans. Evol. Comput., October, 2023

Performance Indicator-Based Adaptive Model Selection for Offline Data-Driven Multiobjective Evolutionary Optimization.
IEEE Trans. Cybern., October, 2023

PIVODL: Privacy-Preserving Vertical Federated Learning Over Distributed Labels.
IEEE Trans. Artif. Intell., October, 2023

Guest Editorial: Special Issue on Security and Privacy in Machine Learning.
IEEE Trans. Artif. Intell., October, 2023

Optimized compressed sensing for communication efficient federated learning.
Knowl. Based Syst., October, 2023

An efficient evolutionary algorithm for high-speed train rescheduling under a partial station blockage.
Appl. Soft Comput., September, 2023

Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

Automated pattern generation for swarm robots using constrained multi-objective genetic programming.
Swarm Evol. Comput., August, 2023

A Multi-Factorial Evolutionary Algorithm With Asynchronous Optimization Processes for Solving the Robust Influence Maximization Problem.
IEEE Comput. Intell. Mag., August, 2023

Enhancing the Robustness of Networks Against Multiple Damage Models Using a Multifactorial Evolutionary Algorithm.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023

Multi-robot target entrapment using cooperative hierarchical gene regulatory network.
Swarm Evol. Comput., July, 2023

Elitism-based transfer learning and diversity maintenance for dynamic multi-objective optimization.
Inf. Sci., July, 2023

Spike-driven multi-scale learning with hybrid mechanisms of spiking dendrites.
Neurocomputing, July, 2023

Guest Editorial: Advanced Intelligent Manufacturing System: Theory, Algorithms, and Industrial Applications.
IEEE Trans. Ind. Informatics, June, 2023

Cognitive Diagnosis-Based Personalized Exercise Group Assembly via a Multi-Objective Evolutionary Algorithm.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

A Surrogate-Assisted Two-Stage Differential Evolution for Expensive Constrained Optimization.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

An adaptive Gaussian process based manifold transfer learning to expensive dynamic multi-objective optimization.
Neurocomputing, June, 2023

Machine Learning Assisted Evolutionary Multi-Objective Optimization [Guest Editorial].
IEEE Comput. Intell. Mag., May, 2023

Solution Set Augmentation for Knee Identification in Multiobjective Decision Analysis.
IEEE Trans. Cybern., April, 2023

Imperceptible and Sparse Adversarial Attacks via a Dual-Population-Based Constrained Evolutionary Algorithm.
IEEE Trans. Artif. Intell., April, 2023

A Self-Organizing IoT Service Perception Algorithm Based on Human Visual Direction-Sensitive System.
IEEE Internet Things J., April, 2023

Adaptive Prototypical Networks With Label Words and Joint Representation Learning for Few-Shot Relation Classification.
IEEE Trans. Neural Networks Learn. Syst., March, 2023

Guest editorial: Robust, explainable, and privacy-preserving deep learning.
Knowl. Based Syst., March, 2023

Computational Evolution of Neural and Morphological Development - Towards Evolutionary Developmental Artificial Intelligence
Natural Computing Series, Springer, ISBN: 978-981-99-1853-9, 2023

Local Model-Based Pareto Front Estimation for Multiobjective Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2023

Coordinated Adaptation of Reference Vectors and Scalarizing Functions in Evolutionary Many-Objective Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2023

Triple Change Detection Network via Joint Multifrequency and Full-Scale Swin-Transformer for Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2023

Ultralightweight Spatial-Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2023

Cooperative Coevolutionary CMA-ES With Landscape-Aware Grouping in Noisy Environments.
IEEE Trans. Evol. Comput., 2023

A Performance Indicator-Based Infill Criterion for Expensive Multi-/Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2023

Guest Editorial Special Issue on Large-Scale Evolutionary Multiobjective Optimization and Its Practical Applications.
IEEE Trans. Evol. Comput., 2023

DRL Router: Distributional Reinforcement Learning-Based Router for Reliable Shortest Path Problems.
IEEE Intell. Transp. Syst. Mag., 2023

FedMed-GAN: Federated domain translation on unsupervised cross-modality brain image synthesis.
Neurocomputing, 2023

A practical tutorial on solving optimization problems via PlatEMO.
Neurocomputing, 2023

Bi-fidelity evolutionary multiobjective search for adversarially robust deep neural architectures.
Neurocomputing, 2023

A Data Stream Ensemble Assisted Multifactorial Evolutionary Algorithm for Offline Data-Driven Dynamic Optimization.
Evol. Comput., 2023

Recent Advances in Bayesian Optimization.
ACM Comput. Surv., 2023

HE-DKSAP: Privacy-Preserving Stealth Address Protocol via Additively Homomorphic Encryption.
CoRR, 2023

An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Travelling Salesman Problems.
CoRR, 2023

Evolutionary Dynamic Optimization Laboratory: A MATLAB Optimization Platform for Education and Experimentation in Dynamic Environments.
CoRR, 2023

Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search.
CoRR, 2023

K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment.
CoRR, 2023

Identification of Energy Management Configuration Concepts from a Set of Pareto-optimal Solutions.
CoRR, 2023

Lightweight Structure-aware Transformer Network for VHR Remote Sensing Image Change Detection.
CoRR, 2023

Evolutionary Reinforcement Learning: A Survey.
CoRR, 2023

Augmented Transformers with Adaptive n-grams Embedding for Multilingual Scene Text Recognition.
CoRR, 2023

EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation.
CoRR, 2023

Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore.
CoRR, 2023

Deep Industrial Image Anomaly Detection: A Survey.
CoRR, 2023

A Graph Neural Network with Negative Message Passing for Graph Coloring.
CoRR, 2023

Adversarial Training of Deep Neural Networks Guided by Texture and Structural Information.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Towards the Prognosis of Patients in Coma using Echo State Networks for EEG Analysis.
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Graph Q-learning Assisted Ant Colony Optimization for Vehicle Routing Problems with Time Windows.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

An Ant Colony Algorithm Assisted by Graph Neural Networks for Solving Vehicle Routing Problems.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

End-to-End Pareto Set Prediction with Graph Neural Networks for Multi-objective Facility Location.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

What Makes a Good Data Augmentation for Few-Shot Unsupervised Image Anomaly Detection?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

EMT-NAS: Transferring architectural knowledge between tasks from different datasets.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Federated Bayesian Optimization for Privacy-Preserving Neural Architecture Search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

Effects of Pareto Set on the Performance of Problem Reformulation-Based Large-Scale Multiobjective Optimization Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

Federated Learning - Fundamentals and Advances
Springer, ISBN: 978-981-19-7082-5, 2023

2022
A Decision Variable Assortment-Based Evolutionary Algorithm for Dominance Robust Multiobjective Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Surrogate-Assisted Multipopulation Particle Swarm Optimizer for High-Dimensional Expensive Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Reference Vector-Assisted Adaptive Model Management for Surrogate-Assisted Many-Objective Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Evolutionary Optimization of High-Dimensional Multiobjective and Many-Objective Expensive Problems Assisted by a Dropout Neural Network.
IEEE Trans. Syst. Man Cybern. Syst., 2022

A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2022

Ternary Compression for Communication-Efficient Federated Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Image Clustering Using an Augmented Generative Adversarial Network and Information Maximization.
IEEE Trans. Neural Networks Learn. Syst., 2022

A Pairwise Proximity Learning-Based Ant Colony Algorithm for Dynamic Vehicle Routing Problems.
IEEE Trans. Intell. Transp. Syst., 2022

Real-Time Federated Evolutionary Neural Architecture Search.
IEEE Trans. Evol. Comput., 2022

Evolutionary Search for Complete Neural Network Architectures With Partial Weight Sharing.
IEEE Trans. Evol. Comput., 2022

A Survey on Knee-Oriented Multiobjective Evolutionary Optimization.
IEEE Trans. Evol. Comput., 2022

An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2022

A Large-Scale Combinatorial Many-Objective Evolutionary Algorithm for Intensity-Modulated Radiotherapy Planning.
IEEE Trans. Evol. Comput., 2022

Searching for Robustness Intervals in Evolutionary Robust Optimization.
IEEE Trans. Evol. Comput., 2022

Interpretability-Based Multimodal Convolutional Neural Networks for Skin Lesion Diagnosis.
IEEE Trans. Cybern., 2022

Computational Modeling of Structural Synaptic Plasticity in Echo State Networks.
IEEE Trans. Cybern., 2022

Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization.
IEEE Trans. Cybern., 2022

An Adaptive Reference Vector-Guided Evolutionary Algorithm Using Growing Neural Gas for Many-Objective Optimization of Irregular Problems.
IEEE Trans. Cybern., 2022

A Pattern Mining-Based Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems.
IEEE Trans. Cybern., 2022

Action Command Encoding for Surrogate-Assisted Neural Architecture Search.
IEEE Trans. Cogn. Dev. Syst., 2022

A Cluster-Based Competitive Particle Swarm Optimizer with a Sparse Truncation Operator for Multi-Objective Optimization.
Swarm Evol. Comput., 2022

A fast sampling based evolutionary algorithm for million-dimensional multiobjective optimization.
Swarm Evol. Comput., 2022

Experience Sharing Based Memetic Transfer Learning for Multiagent Reinforcement Learning.
Memetic Comput., 2022

Thematic issue on knowledge and data driven evolutionary multi-objective optimization.
Memetic Comput., 2022

A latent batch-constrained deep reinforcement learning approach for precision dosing clinical decision support.
Knowl. Based Syst., 2022

Information maximization clustering via multi-view self-labelling.
Knowl. Based Syst., 2022

Surrogate-assisted evolutionary optimization of expensive many-objective irregular problems.
Knowl. Based Syst., 2022

A benchmark generator for online dynamic single-objective and multi-objective optimization problems.
Inf. Sci., 2022

A self-exploratory competitive swarm optimization algorithm for large-scale multiobjective optimization.
Inf. Sci., 2022

A fuzzy constraint handling technique for decomposition-based constrained multi- and many-objective optimization.
Inf. Sci., 2022

A model-based hybrid soft actor-critic deep reinforcement learning algorithm for optimal ventilator settings.
Inf. Sci., 2022

Hybrid attention-based transformer block model for distant supervision relation extraction.
Neurocomputing, 2022

Sparse-attentive meta temporal point process for clinical decision support.
Neurocomputing, 2022

Distributed machine learning, optimization and applications.
Neurocomputing, 2022

Fault-tolerant adaptive tracking control of Euler-Lagrange systems - An echo state network approach driven by reinforcement learning.
Neurocomputing, 2022

Integrating Conjugate Gradients Into Evolutionary Algorithms for Large-Scale Continuous Multi-Objective Optimization.
IEEE CAA J. Autom. Sinica, 2022

Transfer Learning Based Co-Surrogate Assisted Evolutionary Bi-Objective Optimization for Objectives with Non-Uniform Evaluation Times.
Evol. Comput., 2022

Evolutionary Large-Scale Multi-Objective Optimization: A Survey.
ACM Comput. Surv., 2022

Intelligent Computing: The Latest Advances, Challenges and Future.
CoRR, 2022

Towards Fairness-Aware Multi-Objective Optimization.
CoRR, 2022

A Survey on Surrogate-assisted Efficient Neural Architecture Search.
CoRR, 2022

A Survey of Visual Sensory Anomaly Detection.
CoRR, 2022

A Survey of Cross-Modality Brain Image Synthesis.
CoRR, 2022

A Generic Self-Supervised Framework of Learning Invariant Discriminative Features.
CoRR, 2022

FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss.
CoRR, 2022

FedMed-GAN: Federated Multi-Modal Unsupervised Brain Image Synthesis.
CoRR, 2022

Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FedMed-ATL: Misaligned Unpaired Cross-Modality Neuroimage Synthesis via Affine Transform Loss.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
Toward Real-Time Federated Evolutionary Neural Architecture Search.
Proceedings of the Automated Design of Machine Learning and Search Algorithms, 2021

Solving Many-Objective Optimization Problems via Multistage Evolutionary Search.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Guest Editorial Special Issue on Deep Integration of Artificial Intelligence and Data Science for Process Manufacturing.
IEEE Trans. Neural Networks Learn. Syst., 2021

A Survey of Deep Learning Applications to Autonomous Vehicle Control.
IEEE Trans. Intell. Transp. Syst., 2021

Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance.
IEEE Trans. Evol. Comput., 2021

A Multiobjective Evolutionary Algorithm for Finding Knee Regions Using Two Localized Dominance Relationships.
IEEE Trans. Evol. Comput., 2021

A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part B.
IEEE Trans. Evol. Comput., 2021

A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part A.
IEEE Trans. Evol. Comput., 2021

A Computationally Efficient Evolutionary Algorithm for Multiobjective Network Robustness Optimization.
IEEE Trans. Evol. Comput., 2021

A Coevolutionary Framework for Constrained Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., 2021

A Multipopulation Evolutionary Algorithm for Solving Large-Scale Multimodal Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., 2021

A Kriging-Assisted Two-Archive Evolutionary Algorithm for Expensive Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2021

Large-Scale Evolutionary Multiobjective Optimization Assisted by Directed Sampling.
IEEE Trans. Evol. Comput., 2021

Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2021

Finding Influential Nodes in Multiplex Networks Using a Memetic Algorithm.
IEEE Trans. Cybern., 2021

Solving Large-Scale Multiobjective Optimization Problems With Sparse Optimal Solutions via Unsupervised Neural Networks.
IEEE Trans. Cybern., 2021

Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs).
IEEE Trans. Cybern., 2021

Regulated Morphogen Gradients for Target Surrounding and Adaptive Shape Formation.
IEEE Trans. Cogn. Dev. Syst., 2021

Offline data-driven evolutionary optimization based on tri-training.
Swarm Evol. Comput., 2021

A federated data-driven evolutionary algorithm.
Knowl. Based Syst., 2021

An interpretable deep neural network for colorectal polyp diagnosis under colonoscopy.
Knowl. Based Syst., 2021

Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times.
Knowl. Based Syst., 2021

Non-dominated sorting on performance indicators for evolutionary many-objective optimization.
Inf. Sci., 2021

Federated learning on non-IID data: A survey.
Neurocomputing, 2021

Distributed additive encryption and quantization for privacy preserving federated deep learning.
Neurocomputing, 2021

A fast constrained state transition algorithm.
Neurocomputing, 2021

Synergies between synaptic and intrinsic plasticity in echo state networks.
Neurocomputing, 2021

Multi-objective search of robust neural architectures against multiple types of adversarial attacks.
Neurocomputing, 2021

A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts.
IEEE CAA J. Autom. Sinica, 2021

A Self-Adaptive Response Strategy for Dynamic Multiobjective Evolutionary Optimization Based on Objective Space Decomposition.
Evol. Comput., 2021

A Federated Data-Driven Evolutionary Algorithm for Expensive Multi/Many-objective Optimization.
CoRR, 2021

Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics.
CoRR, 2021

Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search.
CoRR, 2021

Surrogate-Assisted Evolutionary Multitasking for Expensive Minimax Optimization in Multiple Scenarios.
IEEE Comput. Intell. Mag., 2021

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2021

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2021

[Guest Editorial].
IEEE Comput. Intell. Mag., 2021

Systematic evaluation of machine learning methods for identifying human-pathogen protein-protein interactions.
Briefings Bioinform., 2021

Regular echo state networks: simple and accurate reservoir models to real-world applications.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Multi-objective Evolutionary Federated Learning.
Proceedings of the 6th International Conference on Internet of Things, 2021

Point AE-DCGAN: A deep learning model for 3D point cloud lossy geometry compression.
Proceedings of the 31st Data Compression Conference, 2021

2020
Surrogate-Assisted Evolutionary Optimization of Large Problems.
Proceedings of the High-Performance Simulation-Based Optimization, 2020

Multiple-Solution Optimization Strategy for Multirobot Task Allocation.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Multi-Objective Evolutionary Federated Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

Evolving Local Plasticity Rules for Synergistic Learning in Echo State Networks.
IEEE Trans. Neural Networks Learn. Syst., 2020

Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation.
IEEE Trans. Neural Networks Learn. Syst., 2020

Introduction to the Special Issue on Nature-Inspired Optimization Methods in Fuzzy Systems.
IEEE Trans. Fuzzy Syst., 2020

Guest Editorial Special Issue on Big Data and Computational Intelligence for Agile Wireless IoT.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

Offline Data-Driven Multiobjective Optimization: Knowledge Transfer Between Surrogates and Generation of Final Solutions.
IEEE Trans. Evol. Comput., 2020

Surrogate-Assisted Robust Optimization of Large-Scale Networks Based on Graph Embedding.
IEEE Trans. Evol. Comput., 2020

An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems.
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

A Network Reduction-Based Multiobjective Evolutionary Algorithm for Community Detection in Large-Scale Complex Networks.
IEEE Trans. Cybern., 2020

Benchmark Problems and Performance Indicators for Search of Knee Points in Multiobjective Optimization.
IEEE Trans. Cybern., 2020

Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service.
IEEE Trans. Cybern., 2020

A Random Forest-Assisted Evolutionary Algorithm for Data-Driven Constrained Multiobjective Combinatorial Optimization of Trauma Systems.
IEEE Trans. Cybern., 2020

Efficient Large-Scale Multiobjective Optimization Based on a Competitive Swarm Optimizer.
IEEE Trans. Cybern., 2020

Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling.
IEEE Trans. Cybern., 2020

A Recommender System for Metaheuristic Algorithms for Continuous Optimization Based on Deep Recurrent Neural Networks.
IEEE Trans. Artif. Intell., 2020

An affinity propagation clustering based particle swarm optimizer for dynamic optimization.
Knowl. Based Syst., 2020

Multi-surrogate multi-tasking optimization of expensive problems.
Knowl. Based Syst., 2020

Decision-making and multi-objectivization for cost sensitive robust optimization over time.
Knowl. Based Syst., 2020

Language model based interactive estimation of distribution algorithm.
Knowl. Based Syst., 2020

An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization.
Inf. Sci., 2020

Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines.
Neurocomputing, 2020

From Federated Learning to Federated Neural Architecture Search: A Survey.
CoRR, 2020

Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search.
CoRR, 2020

Robust Structural Balance in Signed Networks Using a Multiobjective Evolutionary Algorithm.
IEEE Comput. Intell. Mag., 2020

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2020

An improved random forest-based rule extraction method for breast cancer diagnosis.
Appl. Soft Comput., 2020

Transfer stacking from low-to high-fidelity: A surrogate-assisted bi-fidelity evolutionary algorithm.
Appl. Soft Comput., 2020

Evaluating Automatically Generated YARA Rules and Enhancing Their Effectiveness.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Surrogate-Assisted Evolutionary Algorithm with Random Feature Selection for Large-Scale Expensive Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Towards A More Effective Bidirectional LSTM-Based Learning Model for Human-Bacterium Protein-Protein Interactions.
Proceedings of the Practical Applications of Computational Biology & Bioinformatics, 2020

A Gated Recurrent Unit based Echo State Network.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

EEG feature learning with Intrinsic Plasticity based Deep Echo State Network.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Generation of consistent sets of multi-label classification rules with a multi-objective evolutionary algorithm.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Techniques for Accelerating Multi-Objective Evolutionary Algorithms in PlatEMO.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
High-Dimensional Robust Multi-Objective Optimization for Order Scheduling: A Decision Variable Classification Approach.
IEEE Trans. Ind. Informatics, 2019

Guest Editorial: Special Issue on Computational Intelligence in Data-Driven Optimization.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

Dynamic Evolutionary Multiobjective Optimization for Raw Ore Allocation in Mineral Processing.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

A Bio-Inspired Self-Learning Coevolutionary Dynamic Multiobjective Optimization Algorithm for Internet of Things Services.
IEEE Trans. Evol. Comput., 2019

Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles.
IEEE Trans. Evol. Comput., 2019

Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems.
IEEE Trans. Evol. Comput., 2019

A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2019

A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2019

Data-Driven Evolutionary Optimization: An Overview and Case Studies.
IEEE Trans. Evol. Comput., 2019

Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation.
IEEE Trans. Evol. Comput., 2019

Generalized Multitasking for Evolutionary Optimization of Expensive Problems.
IEEE Trans. Evol. Comput., 2019

Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems.
IEEE Trans. Cybern., 2019

Multimodal Optimization Enhanced Cooperative Coevolution for Large-Scale Optimization.
IEEE Trans. Cybern., 2019

A Clustering-Based Adaptive Evolutionary Algorithm for Multiobjective Optimization With Irregular Pareto Fronts.
IEEE Trans. Cybern., 2019

Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns.
IEEE Trans. Cybern., 2019

Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems.
IEEE Trans. Cybern., 2019

Multitasking Multiobjective Evolutionary Operational Indices Optimization of Beneficiation Processes.
IEEE Trans Autom. Sci. Eng., 2019

A performance-driven multi-algorithm selection strategy for energy consumption optimization of sea-rail intermodal transportation.
Swarm Evol. Comput., 2019

Particle swarm optimization for network-based data classification.
Neural Networks, 2019

A hybrid instance-intensive workflow scheduling method in private cloud environment.
Nat. Comput., 2019

A proactive scheduling approach to steel rolling process with stochastic machine breakdown.
Nat. Comput., 2019

A dynamic SVR-ARMA model with improved fruit fly algorithm for the nonlinear fiber stretching process.
Nat. Comput., 2019

To the special Issue on "Metaheuristics for optimization of complex process engineering".
Nat. Comput., 2019

A tree ensemble-based two-stage model for advanced-stage colorectal cancer survival prediction.
Inf. Sci., 2019

A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization.
Inf. Sci., 2019

An adaptive decomposition-based evolutionary algorithm for many-objective optimization.
Inf. Sci., 2019

Echo state networks regulated by local intrinsic plasticity rules for regression.
Neurocomputing, 2019

CMSN: Continuous Multi-stage Network and Variable Margin Cosine Loss for Temporal Action Proposal Generation.
CoRR, 2019

Identification of Interaction Clusters Using a Semi-supervised Hierarchical Clustering Method.
CoRR, 2019

Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs).
CoRR, 2019

Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation.
CoRR, 2019

Diversity Assessment of Multi-Objective Evolutionary Algorithms: Performance Metric and Benchmark Problems [Research Frontier].
IEEE Comput. Intell. Mag., 2019

Stacking-based ensemble learning of decision trees for interpretable prostate cancer detection.
Appl. Soft Comput., 2019

Automated Selection of Evolutionary Multi-objective Optimization Algorithms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Bayesian Approaches to Surrogate-Assisted Evolutionary Multi-objective Optimization: A Comparative Study.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Evolving Hyperparameters for Training Deep Neural Networks against Adversarial Attacks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Evolutionary Optimization of Liquid State Machines for Robust Learning.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

An a priori knee identification multi-objective evolutionary algorithm based on <i>α</i>-dominance.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

References or Preferences - Rethinking Many-objective Evolutionary Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Multi-indicator based Selection Strategy for Evolutionary Many-objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Using PlatEMO to Solve Multi-Objective Optimization Problems in Applications: A Case Study on Feature Selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A New Selection Strategy for Decomposition-based Evolutionary Many-Objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Adaptation of Reference Vectors for Evolutionary Many-objective Optimization of Problems with Irregular Pareto Fronts.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Surrogate-Assisted Expensive Many-Objective Optimization by Model Fusion.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Hyperparameter Estimation in SVM with GPU Acceleration for Prediction of Protein-Protein Interactions.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2018

A Generic Test Suite for Evolutionary Multifidelity Optimization.
IEEE Trans. Evol. Comput., 2018

An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility.
IEEE Trans. Evol. Comput., 2018

Guest Editorial Evolutionary Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2018

A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2018

An Extended Reinforcement Learning Framework to Model Cognitive Development With Enactive Pattern Representation.
IEEE Trans. Cogn. Dev. Syst., 2018

Morphogen diffusion algorithms for tracking and herding using a swarm of kilobots.
Soft Comput., 2018

Feature selection for high-dimensional classification using a competitive swarm optimizer.
Soft Comput., 2018

A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems.
Memetic Comput., 2018

A competitive mechanism based multi-objective particle swarm optimizer with fast convergence.
Inf. Sci., 2018

Surrogate-assisted hierarchical particle swarm optimization.
Inf. Sci., 2018

Evolutionary multi-objective optimization based ensemble autoencoders for image outlier detection.
Neurocomputing, 2018

On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments.
Evol. Comput., 2018

A Particle Filter based Multi-Objective Optimization Algorithm: PFOPS.
CoRR, 2018

An improved support vector machine-based diabetic readmission prediction.
Comput. Methods Programs Biomed., 2018

Incremental data-driven optimization of complex systems in nonstationary environments.
Sci. China Inf. Sci., 2018

A two-stage R2 indicator based evolutionary algorithm for many-objective optimization.
Appl. Soft Comput., 2018

Semi-supervised learning assisted particle swarm optimization of computationally expensive problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

A Method for a Posteriori Identification of Knee Points Based on Solution Density.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Hierarchical Surrogate-Assisted Evolutionary Multi-Scenario Airfoil Shape Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Sampling Reference Points on the Pareto Fronts of Benchmark Multi-Objective Optimization Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
A Strategy for Self-Organized Coordinated Motion of a Swarm of Minimalist Robots.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems.
IEEE Trans. Evol. Comput., 2017

Diversity Assessment in Many-Objective Optimization.
IEEE Trans. Cybern., 2017

Committee-Based Active Learning for Surrogate-Assisted Particle Swarm Optimization of Expensive Problems.
IEEE Trans. Cybern., 2017

A Many-Objective Evolutionary Algorithm Using A One-by-One Selection Strategy.
IEEE Trans. Cybern., 2017

Test Problems for Large-Scale Multiobjective and Many-Objective Optimization.
IEEE Trans. Cybern., 2017

Endocrine-based coevolutionary multi-swarm for multi-objective workflow scheduling in a cloud system.
Soft Comput., 2017

Special issue on "Data-driven evolutionary optimization".
Soft Comput., 2017

Bio-inspired self-organising multi-robot pattern formation: A review.
Robotics Auton. Syst., 2017

Thematic issue on "bio-inspired learning for data analysis".
Memetic Comput., 2017

User-oriented many-objective cloud workflow scheduling based on an improved knee point driven evolutionary algorithm.
Knowl. Based Syst., 2017

A multi-objective approach to robust optimization over time considering switching cost.
Inf. Sci., 2017

Multi-train: A semi-supervised heterogeneous ensemble classifier.
Neurocomputing, 2017

An efficient method for online detection of polychronous patterns in spiking neural networks.
Neurocomputing, 2017

Classifier ensembles for image identification using multi-objective Pareto features.
Neurocomputing, 2017

Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results.
CoRR, 2017

PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization.
CoRR, 2017

An Efficient Method for online Detection of Polychronous Patterns in Spiking Neural Network.
CoRR, 2017

A multi-objective evolutionary algorithm guided by directed search for dynamic scheduling.
Comput. Oper. Res., 2017

Pattern Recommendation in Task-oriented Applications: A Multi-Objective Perspective [Application Notes].
IEEE Comput. Intell. Mag., 2017

PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum].
IEEE Comput. Intell. Mag., 2017

Conference Report on 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016) [Conference Reports].
IEEE Comput. Intell. Mag., 2017

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2017

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2017

A time series driven decomposed evolutionary optimization approach for reconstructing large-scale gene regulatory networks based on fuzzy cognitive maps.
BMC Bioinform., 2017

A radial space division based evolutionary algorithm for many-objective optimization.
Appl. Soft Comput., 2017

Comparisons of different kernels in Kriging-assisted evolutionary expensive optimization.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Enhancing classification of mass spectrometry imaging data with deep neural networks.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Nature-Inspired Graph Optimization for Dimensionality Reduction.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Augmented windows fuzzy firewall for preventing denial of service attack.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Efficient nonlinear correlation detection for decomposed search in evolutionary multi-objective optimization.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Surrogate-assisted evolutionary multiobjective shape optimization of an air intake ventilation system.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Two-stage assortative mating for multi-objective multifactorial evolutionary optimization.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Data-Driven Surrogate-Assisted Multiobjective Evolutionary Optimization of a Trauma System.
IEEE Trans. Evol. Comput., 2016

A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2016

Editorial IEEE Transactions on Cognitive and Developmental Systems.
IEEE Trans. Cogn. Dev. Syst., 2016

μ JADE: adaptive differential evolution with a small population.
Soft Comput., 2016

A dynamic optimization approach to the design of cooperative co-evolutionary algorithms.
Knowl. Based Syst., 2016

Approximate non-dominated sorting for evolutionary many-objective optimization.
Inf. Sci., 2016

Modeling neural plasticity in echo state networks for classification and regression.
Inf. Sci., 2016

Immune-inspired self-adaptive collaborative control allocation for multi-level stretching processes.
Inf. Sci., 2016

CIS Publication Spotlight [Publication Spotlight].
IEEE Comput. Intell. Mag., 2016

Reduction strategies for hierarchical multi-label classification in protein function prediction.
BMC Bioinform., 2016

Evolutionary multi-objective blocking lot-streaming flow shop scheduling with interval processing time.
Appl. Soft Comput., 2016

Empirical analysis of a tree-based efficient non-dominated sorting approach for many-objective optimization.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

An adaptive model selection strategy for surrogate-assisted particle swarm optimization algorithm.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

An ensemble of single multiplicative neuron models for probabilistic prediction.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A self-adaptive similarity-based fitness approximation for evolutionary optimization.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Preface from IEEE SSCI 2016 general chairs.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Small data driven evolutionary multi-objective optimization of fused magnesium furnaces.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

An improved mini-batching technique: Sample-and-Learn.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Network structural optimization based on swarm intelligence for highlevel classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Fitness Estimation Strategy Assisted Competitive Swarm Optimizer for High Dimensional Expensive Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Surrogate-Assisted Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & Organization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Data Driven Evolutionary Optimization of Complex Systems: Big Data Versus Small Data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Evolutionary Computation and Big Data: Key Challenges and Future Directions.
Proceedings of the Data Mining and Big Data, First International Conference, 2016

A multi-objective evolutionary algorithm based on an enhanced inverted generational distance metric.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Reference point based prediction for evolutionary dynamic multiobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Incremental information gain analysis of input attribute impact on RBF-kernel SVM spam detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Multi-objective ensemble generation.
WIREs Data Mining Knowl. Discov., 2015

A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2015

An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2015

A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling.
IEEE Trans. Evol. Comput., 2015

A Competitive Swarm Optimizer for Large Scale Optimization.
IEEE Trans. Cybern., 2015

Evolutionary Multiobjective Image Feature Extraction in the Presence of Noise.
IEEE Trans. Cybern., 2015

A cytokine network-inspired cooperative control system for multi-stage stretching processes in fiber production.
Soft Comput., 2015

A directed search strategy for evolutionary dynamic multiobjective optimization.
Soft Comput., 2015

A two-layer surrogate-assisted particle swarm optimization algorithm.
Soft Comput., 2015

An endocrine-based intelligent distributed cooperative algorithm for target tracking in wireless sensor networks.
Soft Comput., 2015

Special issue on UKCI 2013.
Soft Comput., 2015

Self-organized swarm robot for target search and trapping inspired by bacterial chemotaxis.
Robotics Auton. Syst., 2015

A knowledge-based evolutionary proactive scheduling approach in the presence of machine breakdown and deterioration effect.
Knowl. Based Syst., 2015

A social learning particle swarm optimization algorithm for scalable optimization.
Inf. Sci., 2015

Learning structure of sensory inputs with synaptic plasticity leads to interference.
Frontiers Comput. Neurosci., 2015

Evolutionary non-linear modelling for selecting vaccines against antigenically variable viruses.
Bioinform., 2015

Ensemble Learning Optimization for Diabetic Retinopathy Image Analysis.
Proceedings of the VISAPP 2015, 2015

General chairs and program chairs message.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2015

Scalable Model based Evolutionary Multi-objective Optimization.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

Evolutionary Optimization of complex Systems in Uncertain Environments.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

New performance indicators for robust optimization over time.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Reference vector based a posteriori preference articulation for evolutionary multiobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Trade-off between computational complexity and accuracy in evolutionary image feature extraction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization.
IEEE Trans. Cybern., 2014

Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction.
Neurocomputing, 2014

Reconstructing biological gene regulatory networks: where optimization meets big data.
Evol. Intell., 2014

Computational Intelligence in Big Data [Guest Editorial].
IEEE Comput. Intell. Mag., 2014

IEEE CIS VP-Technical Activities Vision Statement [Society Briefs].
IEEE Comput. Intell. Mag., 2014

Computational modeling of neural plasticity for self-organization of neural networks.
Biosyst., 2014

Modeling neural plasticity in echo state networks for time series prediction.
Proceedings of the 14th UK Workshop on Computational Intelligence, 2014

Morphogenetic Self-Organization of Collective Movement without Directional Sensing.
Proceedings of the Advances in Autonomous Robotics Systems - 15th Annual Conference, 2014

Adaptive Swarm Robot Region Coverage Using Gene Regulatory Networks.
Proceedings of the Advances in Autonomous Robotics Systems - 15th Annual Conference, 2014

On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Generating diverse and accurate classifier ensembles using multi-objective optimization.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2014

Multi-objective evolutionary recurrent neural network ensemble for prediction of computational fluid dynamic simulations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Evolving hierarchical gene regulatory networks for morphogenetic pattern formation of swarm robots.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Similarity- and reliability-assisted fitness estimation for particle swarm optimization of expensive problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Demonstrator selection in a social learning particle swarm optimizer.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Neural network ensembles for image identification using Pareto-optimal features.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
A New Surrogate-Assisted Interactive Genetic Algorithm With Weighted Semisupervised Learning.
IEEE Trans. Cybern., 2013

An examination of different fitness and novelty based selection methods for the evolution of neural networks.
Soft Comput., 2013

A morphogenetic approach to flexible and robust shape formation for swarm robotic systems.
Robotics Auton. Syst., 2013

A framework for finding robust optimal solutions over time.
Memetic Comput., 2013

Evolving Connectivity between Genetic oscillators and Switches using Evolutionary Algorithms.
J. Bioinform. Comput. Biol., 2013

A new fitness estimation strategy for particle swarm optimization.
Inf. Sci., 2013

An improved (μ + λ)-constrained differential evolution for constrained optimization.
Inf. Sci., 2013

Evolution by Adapting Surrogates.
Evol. Comput., 2013

Reconstructing regulatory networks in Streptomyces using evolutionary algorithms.
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

Simulating swarm behaviuors for optimisation by learning from neighbours.
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

Metamodel Assisted Mixed-Integer Evolution Strategies Based on Kendall Rank Correlation Coefficient.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Morphogenetic self-organisation of swarm robots for adaptive pattern formation.
Proceedings of the 2013 19th International Conference on Automation and Computing, 2013

An evolution strategy assisted by an ensemble of local Gaussian process models.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Single and Multi-objective in Silico Evolution of Tunable Genetic Oscillators.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

A Comparative Study of Multi-objective Evolutionary Trace Transform Methods for Robust Feature Extraction.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

Similarity-based evolution control for fitness estimation in particle swarm optimization.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2013

Recurrent neural network ensembles for convergence prediction in surrogate-assisted evolutionary optimization.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2013

Evolutionary truss layout optimization using the vectorized structure approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

A multi-swarm evolutionary framework based on a feedback mechanism.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
A Hierarchical Gene Regulatory Network for Adaptive Multirobot Pattern Formation.
IEEE Trans. Syst. Man Cybern. Part B, 2012

A Developmental Approach to Structural Self-Organization in Reservoir Computing.
IEEE Trans. Auton. Ment. Dev., 2012

A morphogenetic framework for self-organized multirobot pattern formation and boundary coverage.
ACM Trans. Auton. Adapt. Syst., 2012

Evolving neural fields for problems with large input and output spaces.
Neural Networks, 2012

Calcium control of triphasic hippocampal STDP.
J. Comput. Neurosci., 2012

A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design.
IEEE Comput. Intell. Mag., 2012

¿¿2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2012) [Conference Reports].
IEEE Comput. Intell. Mag., 2012

Evolution and Analysis of Genetic Networks for Stable Cellular Growth and Regeneration.
Artif. Life, 2012

Heterogeneous classifier ensembles for EEG-based motor imaginary detection.
Proceedings of the 12th UK Workshop on Computational Intelligence, 2012

The emergence of polychronous groups under varying input patterns, plasticity rules and network connectivities.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Evo-devo-robo workshop program.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Combining genetic oscillators and switches using evolutionary algorithms.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

Quantitative analysis of redundancy in evolution of developmental systems.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

Evolutionary multi-objective optimization of trace transform for invariant feature extraction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Morphogenetic Robotics: A New Paradigm for Designing Self-Organizing, Self-Reconfigurable and Self-Adaptive Robots.
Proceedings of the Morphogenetic Engineering, Toward Programmable Complex Systems, 2012

2011
Morphogenetic Self-Reconfiguration of Modular Robots.
Proceedings of the Bio-Inspired Self-Organizing Robotic Systems, 2011

Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems.
Proceedings of the Bio-Inspired Self-Organizing Robotic Systems, 2011

Morphogenetic Robotics: An Emerging New Field in Developmental Robotics.
IEEE Trans. Syst. Man Cybern. Part C, 2011

Modeling Activity-Dependent Plasticity in BCM Spiking Neural Networks With Application to Human Behavior Recognition.
IEEE Trans. Neural Networks, 2011

Guest Editorial: Special Issue on Evolving Developmental Systems.
IEEE Trans. Evol. Comput., 2011

Guest Editorial Special Issue on Computational Modeling of Neural and Brain Development.
IEEE Trans. Auton. Ment. Dev., 2011

Surrogate-assisted evolutionary computation: Recent advances and future challenges.
Swarm Evol. Comput., 2011

Multi-sensor optimal H<sub>∞</sub> fusion filters for delayed nonlinear intelligent systems based on a unified model.
Neural Networks, 2011

Object recognition using a bio-inspired neuron model with bottom-up and top-down pathways.
Neurocomputing, 2011

Autonomous Self-Reconfiguration of Modular Robots by Evolving a Hierarchical Mechanochemical Model.
IEEE Comput. Intell. Mag., 2011

Emergence of robust regulatory motifs from in silico evolution of sustained oscillation.
Biosyst., 2011

Exploiting inherent regularity in control of multilegged robot locomotion by evolving neural fields.
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

Redundancy creates opportunity in developmental representations.
Proceedings of the 2011 IEEE Symposium on Artificial Life, 2011

Cross-Ball: A new morphogenetic self-reconfigurable modular robot.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Swarm robot pattern formation using a morphogenetic multi-cellular based self-organizing algorithm.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Morphogenetic self-organization of collective systems.
Proceedings of the 2011 workshop on Organic computing, 2011

Combining Particle Swarm Optimisation with Genetic Algorithm for Contextual Analysis of Medical Images.
Proceedings of the HEALTHINF 2011, 2011

Evolution of Multisensory Integration in Large Neural Fields.
Proceedings of the Artificial Evolution, 2011

2010
Generalizing Surrogate-Assisted Evolutionary Computation.
IEEE Trans. Evol. Comput., 2010

Distributed Multi-Agent Systems for a Collective Construction Task based on Virtual Swarm Intelligence.
Int. J. Swarm Intell. Res., 2010

Special Issue on Evolutionary and Developmental Robotics [Guest Editorial].
IEEE Comput. Intell. Mag., 2010

Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat.
Proceedings of the From Animals to Animats 11, 2010

Fusing bottom-up and top-down pathways in neural networks for visual object recognition.
Proceedings of the International Joint Conference on Neural Networks, 2010

Human activity detection using spiking neural networks regulated by a gene regulatory network.
Proceedings of the International Joint Conference on Neural Networks, 2010

Evolving heterochrony for cellular differentiation using vector field embryogeny.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

NEATfields: evolution of neural fields.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

A fitness-independent evolvability measure for evolutionary developmental systems.
Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010

Robust optimization over time - A new perspective on dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Incremental approximation of nonlinear constraint functions for evolutionary constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Analysis of local communication load in shape formation of a distributed morphogenetic swarm robotic system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Analysis of Gene Regulatory Network Motifs in Evolutionary Development of Multicellular Organisms.
Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, 2010

A Morphogenetic Approach to Self-Reconfigurable Modular Robots using a Hybrid Hierarchical Gene Regulatory Network.
Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, 2010

2009
Fuzzy Logic in Evolving in silicoOscillatory Dynamics for Gene Regulatory Networks.
Proceedings of the Fuzzy Systems in Bioinformatics and Computational Biology, 2009

Corrections to "Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies" [May 08 397-415].
IEEE Trans. Syst. Man Cybern. Part C, 2009

Approximating the Set of Pareto-Optimal Solutions in Both the Decision and Objective Spaces by an Estimation of Distribution Algorithm.
IEEE Trans. Evol. Comput., 2009

Lamarckian memetic algorithms: local optimum and connectivity structure analysis.
Memetic Comput., 2009

Pareto analysis of evolutionary and learning systems.
Frontiers Comput. Sci. China, 2009

A systems approach to evolutionary multiobjective structural optimization and beyond.
IEEE Comput. Intell. Mag., 2009

Evolving gene regulatory networks.
Biosyst., 2009

A cellular mechanism for multi-robot construction via evolutionary multi-objective optimization of a gene regulatory network.
Biosyst., 2009

Balancing Population- and Individual-Level Adaptation in Changing Environments.
Adapt. Behav., 2009

Robustness Analysis and Failure Recovery of a Bio-Inspired Self-Organizing Multi-Robot System.
Proceedings of the Third IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2009

Influence of regulation logic on the easiness of evolving sustained oscillation for gene regulatory networks.
Proceedings of the 2009 IEEE Symposium on Artificial Life, 2009

Self-adaptive multi-robot construction using gene regulatory networks.
Proceedings of the 2009 IEEE Symposium on Artificial Life, 2009

Emerged Coupling of Motor Control and Morphological Development in Evolution of Multi-cellular Animats.
Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009

The Effect of Proprioceptive Feedback on the Distribution of Sensory Information in a Model of an Undulatory Organism.
Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009

Evolutionary multi-objective optimization of robustness and innovation in redundant genetic representations.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2009

Global shape with morphogen gradients and motile polarized cells.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Rule Extraction from Compact Pareto-optimal Neural Networks.
Proceedings of the Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, 2008

Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies.
IEEE Trans. Syst. Man Cybern. Part C, 2008

Errata to "RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm" [Feb 08 41-63].
IEEE Trans. Evol. Comput., 2008

RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm.
IEEE Trans. Evol. Comput., 2008

Prediction of convergence dynamics of design performance using differential recurrent neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2008

Evolution of Neural Organization in a Hydra-Like Animat.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

A Gene Regulatory Model for the Development of Primitive Nervous Systems.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Evolutionary Optimization with Dynamic Fidelity Computational Models.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

Pareto-optimality is everywhere: From engineering design, machine learning, to biological systems.
Proceedings of the 3rd International Workshop on Genetic and Evolving Systems, 2008

A cellular model for the evolutionary development of lightweight material with an inner structure.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Real-World Applications of Multiobjective Optimization.
Proceedings of the Multiobjective Optimization, 2008

Combination of EDA and DE for continuous biobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Toward a gene regulatory network model for evolving chemotaxis behavior.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Evolving in silico bistable and oscillatory dynamics for gene regulatory network motifs.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Evolving Functional Symmetry in a Three Dimensional Model of an Elongated Organism.
Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

Modeling Regularity to Improve Scalability of Model-Based Multiobjective Optimization Algorithms.
Proceedings of the Multiobjective Problem Solving from Nature, 2008

2007
Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty.
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007

Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade Optimization.
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007

Efficient Hierarchical Parallel Genetic Algorithms using Grid computing.
Future Gener. Comput. Syst., 2007

Evolutionary Multi-objective Optimization of Spiking Neural Networks.
Proceedings of the Artificial Neural Networks, 2007

Pareto-based Multi-Objective Machine Learning.
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007

Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

On the Influence of Phenotype Plasticity on Genotype Diversity.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

Adaptivemodelling strategy for continuous multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Emergence of feedback in artificial gene regulatory networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems.
Proceedings of the Multi-Objective Machine Learning, 2006

Simultaneous Generation of Accurate and Interpretable Neural Network Classifiers.
Proceedings of the Multi-Objective Machine Learning, 2006

Efficient search for robust solutions by means of evolutionary algorithms and fitness approximation.
IEEE Trans. Evol. Comput., 2006

Editorial to special issue on evolutionary computation in dynamic and uncertain environments.
Genet. Program. Evolvable Mach., 2006

Inverse multi-objective robust evolutionary design.
Genet. Program. Evolvable Mach., 2006

Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping.
Proceedings of the Parallel Problem Solving from Nature, 2006

Alleviating Catastrophic Forgetting via Multi-Objective Learning.
Proceedings of the International Joint Conference on Neural Networks, 2006

Generalization Improvement in Multi-Objective Learning.
Proceedings of the International Joint Conference on Neural Networks, 2006

Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Trusted Evolutionary Algorithm.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Agent-based evolutionary approach for interpretable rule-based knowledge extraction.
IEEE Trans. Syst. Man Cybern. Part C, 2005

Evolutionary optimization in uncertain environments-a survey.
IEEE Trans. Evol. Comput., 2005

Guest Editorial.
Soft Comput., 2005

A comprehensive survey of fitness approximation in evolutionary computation.
Soft Comput., 2005

Structure optimization of neural networks for evolutionary design optimization.
Soft Comput., 2005

Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction.
Fuzzy Sets Syst., 2005

On Evolutionary Optimization of Large Problems Using Small Populations.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative study.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

Evolutionary Multi-objective Optimization for Simultaneous Generation of Signal-Type and Symbol-Type Representations.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2005

A model-based evolutionary algorithm for bi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

A new approach to dynamics analysis of genetic algorithms without selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Co-evolutionary modular neural networks for automatic problem decomposition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
On Test Functions for Evolutionary Multi-objective Optimization.
Proceedings of the Parallel Problem Solving from Nature, 2004

Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles.
Proceedings of the Genetic and Evolutionary Computation, 2004

Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept.
Proceedings of the Applications of Evolutionary Computing, 2004

Voronoi-based estimation of distribution algorithm for multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Neural network regularization and ensembling using multi-objective evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Extracting Interpretable Fuzzy Rules from RBF Networks.
Neural Process. Lett., 2003

Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis.
Proceedings of the Genetic and Evolutionary Computation, 2003

Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2003

Comparing neural networks and Kriging for fitness approximation in evolutionary optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Evolutionary multi-objective optimisation with a hybrid representation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

A critical survey of performance indices for multi-objective optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Comparative studies on micro heat exchanger optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Connectedness, regularity and the success of local search in evolutionary multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Advanced fuzzy systems design and applications.
Studies in Fuzziness and Soft Computing 112, Physica-Verlag, ISBN: 3-7908-1537-3, 2003

2002
Knowledge in evolutionary and learning systems.
PhD thesis, 2002

A framework for evolutionary optimization with approximate fitness functions.
IEEE Trans. Evol. Comput., 2002

On The Dynamics Of Evolutionary Multi-objective Optimization.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Fitness Approximation In Evolutionary Computation - a Survey.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Incorporation Of Fuzzy Preferences Into Evolutionary Multiobjective Optimization.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

2001
Adapting Weighted Aggregation for Multiobjective Evolution Strategies.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2001

Adaptive encoding for aerodynamic shape optimization using evolution strategies.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

Managing approximate models in evolutionary aerodynamic design optimization.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

2000
Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement.
IEEE Trans. Fuzzy Syst., 2000

On Evolutionary Optimization with Approximate Fitness Functions.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

1999
On generating FC<sup>3</sup> fuzzy rule systems from data using evolution strategies.
IEEE Trans. Syst. Man Cybern. Part B, 1999

Knowledge Incorporation into Neural Networks From Fuzzy Rules.
Neural Process. Lett., 1999

Evaluating flexible fuzzy controllers via evolution strategies.
Fuzzy Sets Syst., 1999

1998
Decentralized adaptive fuzzy control of robot manipulators.
IEEE Trans. Syst. Man Cybern. Part B, 1998

1995
Neural network based fuzzy identification and its application to modeling and control of complex systems.
IEEE Trans. Syst. Man Cybern., 1995


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