Ponnuthurai N. Suganthan

Orcid: 0000-0003-0901-5105

Affiliations:
  • Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore


According to our database1, Ponnuthurai N. Suganthan authored at least 499 papers between 1994 and 2025.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2015, "For contributions to optimization using evolutionary and swarm algorithms".

Timeline

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Bibliography

2025
Euclidean and Poincaré space ensemble Xgboost.
Inf. Fusion, 2025

A meta-heuristic algorithm combined with deep reinforcement learning for multi-sensor positioning layout problem in complex environment.
Expert Syst. Appl., 2025

2024
A Space Transformation-Based Multiform Approach for Multiobjective Feature Selection in High-Dimensional Classification.
IEEE Trans. Syst. Man Cybern. Syst., December, 2024

Ensemble reinforcement learning: A survey.
Appl. Soft Comput., December, 2024

Self-Distillation for Randomized Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

LiDAR-Based End-to-End Active SLAM Using Deep Reinforcement Learning in Large-Scale Environments.
IEEE Trans. Veh. Technol., October, 2024

Problem-Specific Knowledge Based Multi-Objective Meta-Heuristics Combined Q-Learning for Scheduling Urban Traffic Lights With Carbon Emissions.
IEEE Trans. Intell. Transp. Syst., October, 2024

Alzheimer's Disease Diagnosis via Intuitionistic Fuzzy Random Vector Functional Link Network.
IEEE Trans. Comput. Soc. Syst., August, 2024

Extended Features Based Random Vector Functional Link Network for Classification Problem.
IEEE Trans. Comput. Soc. Syst., August, 2024

Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation.
IEEE Trans. Cogn. Dev. Syst., August, 2024

Energy-Efficient Satellite Range Scheduling Using a Reinforcement Learning-Based Memetic Algorithm.
IEEE Trans. Aerosp. Electron. Syst., August, 2024

Constraints Separation Based Evolutionary Multitasking for Constrained Multi-Objective Optimization Problems.
IEEE CAA J. Autom. Sinica, August, 2024

Scheduling Multiobjective Dynamic Surgery Problems via Q-Learning-Based Meta-Heuristics.
IEEE Trans. Syst. Man Cybern. Syst., June, 2024

Multi-Objective Multi-Picking-Robot Task Allocation: Mathematical Model and Discrete Artificial Bee Colony Algorithm.
IEEE Trans. Intell. Transp. Syst., June, 2024

Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization.
IEEE CAA J. Autom. Sinica, June, 2024

Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems.
IEEE Trans. Fuzzy Syst., May, 2024

Multimodal and Multiuser Semantic Communications for Channel-Level Information Fusion.
IEEE Wirel. Commun., April, 2024

Generalized Model and Deep Reinforcement Learning-Based Evolutionary Method for Multitype Satellite Observation Scheduling.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024

Orthogonal Experimental Design Based Binary Optimization Without Iteration for Fault Section Diagnosis of Power Systems.
IEEE Trans. Ind. Informatics, February, 2024

Large-scale data classification based on the integrated fusion of fuzzy learning and graph neural network.
Inf. Fusion, February, 2024

Damping-Assisted Evolutionary Swarm Intelligence for Industrial IoT Task Scheduling in Cloud Computing.
IEEE Internet Things J., January, 2024

Localized Constrained-Domination Principle for Constrained Multiobjective Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2024

Constrained large-scale multiobjective optimization based on a competitive and cooperative swarm optimizer.
Swarm Evol. Comput., 2024

Large-scale power system multi-area economic dispatch considering valve point effects with comprehensive learning differential evolution.
Swarm Evol. Comput., 2024

Parallel fractional dominance MOEAs for feature subset selection in big data.
Swarm Evol. Comput., 2024

Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities.
Swarm Evol. Comput., 2024

Benchmark problems for large-scale constrained multi-objective optimization with baseline results.
Swarm Evol. Comput., 2024

Corrigendum to "Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends" [Swarm and Evolutionary Computation, Volume 62 (April 2021), 100841].
Swarm Evol. Comput., 2024

An archive-assisted multi-modal multi-objective evolutionary algorithm.
Swarm Evol. Comput., 2024

Deep reinforcement learning as multiobjective optimization benchmarks: Problem formulation and performance assessment.
Swarm Evol. Comput., 2024

UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data.
Swarm Evol. Comput., 2024

Boosted multilayer feedforward neural network with multiple output layers.
Pattern Recognit., 2024

Accurate parameters extraction of photovoltaic models with multi-strategy gaining-sharing knowledge-based algorithm.
Inf. Sci., 2024

Knowledge-embedded constrained multiobjective evolutionary algorithm based on structural network control principles for personalized drug targets recognition in cancer.
Inf. Sci., 2024

Ensemble meta-heuristics and Q-learning for staff dissatisfaction constrained surgery scheduling and rescheduling.
Eng. Appl. Artif. Intell., 2024

Enhanced Feature Based Granular Ball Twin Support Vector Machine.
CoRR, 2024

Underwater Acoustic Signal Denoising Algorithms: A Survey of the State-of-the-art.
CoRR, 2024

An evolutionary multiobjective method based on dominance and decomposition for feature selection in classification.
Sci. China Inf. Sci., 2024

Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey.
Comput. Electr. Eng., 2024

A staged fuzzy evolutionary algorithm for constrained large-scale multiobjective optimization.
Appl. Soft Comput., 2024

Energy-efficient multi-objective distributed assembly permutation flowshop scheduling by Q-learning based meta-heuristics.
Appl. Soft Comput., 2024

Ensemble artificial bee colony algorithm with Q-learning for scheduling Bi-objective disassembly line.
Appl. Soft Comput., 2024

Integrated scheduling of multi-constraint open shop and vehicle routing: Mathematical model and learning-driven brain storm optimization algorithm.
Appl. Soft Comput., 2024

Recurrent ensemble random vector functional link neural network for financial time series forecasting.
Appl. Soft Comput., 2024

TFormer: A time-frequency Transformer with batch normalization for driver fatigue recognition.
Adv. Eng. Informatics, 2024

AI-powered malware detection with Differential Privacy for zero trust security in Internet of Things networks.
Ad Hoc Networks, 2024

Class-incremental Learning for Time Series: Benchmark and Evaluation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Noise Elimination in Deep Random Vector Functional Link Network for Tabular Classification.
Proceedings of the International Joint Conference on Neural Networks, 2024

Wind Speed Forecasting Using an Ensemble Deep Random Vector Functional Link Neural Network Based on Parsimonious Channel Mixing.
Proceedings of the International Joint Conference on Neural Networks, 2024

Vanilla Gradient Descent for Oblique Decision Trees.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

A Two-Stage Evolutionary Framework for Multi-Objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Assessing the Effect of Model Poisoning Attacks on Federated Learning in Android Malware Detection.
Proceedings of the Cognitive Models and Artificial Intelligence Conference, 2024

2023
Scheduling Eight-Phase Urban Traffic Light Problems via Ensemble Meta-Heuristics and Q-Learning Based Local Search.
IEEE Trans. Intell. Transp. Syst., December, 2023

SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data.
IEEE Trans. Evol. Comput., December, 2023

Learning Adaptive Genetic Algorithm for Earth Electromagnetic Satellite Scheduling.
IEEE Trans. Aerosp. Electron. Syst., December, 2023

Tangent-Based Path Planning for UAV in a 3-D Low Altitude Urban Environment.
IEEE Trans. Intell. Transp. Syst., November, 2023

Dual population approximate constrained Pareto front for constrained multiobjective optimization.
Inf. Sci., November, 2023

A problem-specific knowledge based artificial bee colony algorithm for scheduling distributed permutation flowshop problems with peak power consumption.
Eng. Appl. Artif. Intell., November, 2023

Problem feature based meta-heuristics with Q-learning for solving urban traffic light scheduling problems.
Appl. Soft Comput., November, 2023

Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis.
IEEE J. Biomed. Health Informatics, October, 2023

A spectral-ensemble deep random vector functional link network for passive brain-computer interface.
Expert Syst. Appl., October, 2023

A comprehensive review of the deep learning-based tumor analysis approaches in histopathological images: segmentation, classification and multi-learning tasks.
Clust. Comput., October, 2023

Online dynamic ensemble deep random vector functional link neural network for forecasting.
Neural Networks, September, 2023

A cultural evolution with a modified selection function and adaptive α-cognition procedure for numerical optimization.
Appl. Soft Comput., September, 2023

Guest Editorial Special Issue on Deep Reinforcement Learning for Optimization: Methods and Application.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

Random vector functional link network: Recent developments, applications, and future directions.
Appl. Soft Comput., August, 2023

Versatile LiDAR-Inertial Odometry With SE(2) Constraints for Ground Vehicles.
IEEE Robotics Autom. Lett., June, 2023

Ensemble Deep Random Vector Functional Link Neural Network for Regression.
IEEE Trans. Syst. Man Cybern. Syst., May, 2023

A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition.
Inf. Sci., May, 2023

An iterative cyclic tri-strategy hybrid stochastic fractal with adaptive differential algorithm for global numerical optimization.
Inf. Sci., May, 2023

Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks.
IEEE Trans. Ind. Informatics, March, 2023

Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms.
Swarm Evol. Comput., March, 2023

Wireless Network Slice Assignment With Incremental Random Vector Functional Link Network.
IEEE Trans. Netw. Sci. Eng., 2023

Automatic Variable Reduction.
IEEE Trans. Evol. Comput., 2023

A Greedy Cooperative Co-Evolutionary Algorithm With Problem-Specific Knowledge for Multiobjective Flowshop Group Scheduling Problems.
IEEE Trans. Evol. Comput., 2023

Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests.
Swarm Evol. Comput., 2023

Low-rank and global-representation-key-based attention for graph transformer.
Inf. Sci., 2023

Online learning using deep random vector functional link network.
Eng. Appl. Artif. Intell., 2023

An enhanced ensemble deep random vector functional link network for driver fatigue recognition.
Eng. Appl. Artif. Intell., 2023

Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning.
Eng. Appl. Artif. Intell., 2023

Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities.
CoRR, 2023

IF2Net: Innately Forgetting-Free Networks for Continual Learning.
CoRR, 2023

Heterogeneous Oblique Double Random Forest.
CoRR, 2023

A Reinforcement Learning-assisted Genetic Programming Algorithm for Team Formation Problem Considering Person-Job Matching.
CoRR, 2023

Ensemble Reinforcement Learning: A Survey.
CoRR, 2023

Weighted Kernel Ridge Regression based Randomized Network for Alzheimer's Disease Diagnosis using Susceptibility Weighted Images.
Proceedings of the International Joint Conference on Neural Networks, 2023

Online Continual Learning for Control of Mobile Robots.
Proceedings of the International Joint Conference on Neural Networks, 2023

Online ensemble deep random vector functional link for the assistive robots.
Proceedings of the International Joint Conference on Neural Networks, 2023

Unified Discrete Diffusion for Simultaneous Vision-Language Generation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Class-Incremental Learning on Multivariate Time Series Via Shape-Aligned Temporal Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2023

3-sCHSL: Three-Stage Cyclic Hybrid SFS and L-SHADE Algorithm for Single Objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022
Very high-resolution satellite image segmentation using variable-length multi-objective genetic clustering for multi-class change detection.
J. King Saud Univ. Comput. Inf. Sci., November, 2022

Ensemble Many-Objective Optimization Algorithm Based on Voting Mechanism.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Collaborative Truck-Drone Routing for Contactless Parcel Delivery During the Epidemic.
IEEE Trans. Intell. Transp. Syst., 2022

Hybrid Multi-Objective Optimization Approach With Pareto Local Search for Collaborative Truck-Drone Routing Problems Considering Flexible Time Windows.
IEEE Trans. Intell. Transp. Syst., 2022

An Autonomous Path Planning Method for Unmanned Aerial Vehicle Based on a Tangent Intersection and Target Guidance Strategy.
IEEE Trans. Intell. Transp. Syst., 2022

Sample-Based Data Augmentation Based on Electroencephalogram Intrinsic Characteristics.
IEEE J. Biomed. Health Informatics, 2022

Inpatient Discharges Forecasting for Singapore Hospitals by Machine Learning.
IEEE J. Biomed. Health Informatics, 2022

Remodelling State-Space Prediction With Deep Neural Networks for Probabilistic Load Forecasting.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

A Voting-Mechanism-Based Ensemble Framework for Constraint Handling Techniques.
IEEE Trans. Evol. Comput., 2022

A Hybrid Iterated Greedy Algorithm for a Crane Transportation Flexible Job Shop Problem.
IEEE Trans Autom. Sci. Eng., 2022

Ensemble of Metaheuristic and Exact Algorithm Based on the Divide-and-Conquer Framework for Multisatellite Observation Scheduling.
IEEE Trans. Aerosp. Electron. Syst., 2022

Evolutionary Multitask Optimization: Fundamental research questions, practices, and directions for the future.
Swarm Evol. Comput., 2022

Differential evolution with orthogonal array-based initialization and a novel selection strategy.
Swarm Evol. Comput., 2022

Weighting and pruning based ensemble deep random vector functional link network for tabular data classification.
Pattern Recognit., 2022

Representation learning using deep random vector functional link networks for clustering.
Pattern Recognit., 2022

Oblique and rotation double random forest.
Neural Networks, 2022

Takagi-Sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm.
Knowl. Based Syst., 2022

Opposition-mutual learning differential evolution with hybrid mutation strategy for large-scale economic load dispatch problems with valve-point effects and multi-fuel options.
Inf. Sci., 2022

Bayesian optimization based dynamic ensemble for time series forecasting.
Inf. Sci., 2022

Automated layer-wise solution for ensemble deep randomized feed-forward neural network.
Neurocomputing, 2022

A novel dependency-oriented mixed-attribute data classification method.
Expert Syst. Appl., 2022

Random vector functional link neural network based ensemble deep learning for short-term load forecasting.
Expert Syst. Appl., 2022

Jointly optimized ensemble deep random vector functional link network for semi-supervised classification.
Eng. Appl. Artif. Intell., 2022

Ensemble deep learning: A review.
Eng. Appl. Artif. Intell., 2022

Trial-Based Dominance Enables Non-Parametric Tests to Compare both the Speed and Accuracy of Stochastic Optimizers.
CoRR, 2022

Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications.
CoRR, 2022

A Decomposition-Based Hybrid Ensemble CNN Framework for Improving Cross-Subject EEG Decoding Performance.
CoRR, 2022

Incremental Knowledge Tracing from Multiple Schools.
CoRR, 2022

Weighting and Pruning based Ensemble Deep Random Vector Functional Link Network for Tabular Data Classification.
CoRR, 2022

Experimental evaluation of stochastic configuration networks: Is SC algorithm inferior to hyper-parameter optimization method?
Appl. Soft Comput., 2022

Graph ensemble deep random vector functional link network for traffic forecasting.
Appl. Soft Comput., 2022

Advanced Ensemble Deep Random Vector Functional Link for Eye-Tracking-based Situation Awareness Recognition.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Echo state neural network based ensemble deep learning for short-term load forecasting.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022

Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information.
Proceedings of the International Joint Conference on Neural Networks, 2022

Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2022

Double Regularization-Based RVFL and edRVFL Networks for Sparse-Dataset Classification.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Support Vector Machine Based Models with Sparse Auto-encoder Based Features for Classification Problem.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Adaptive Scaling for U-Net in Time Series Classification.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Unsupervised Generative Variational Continual Learning.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Investigating Robustness of Biological vs. Backprop Based Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Situation Awareness Recognition Using EEG and Eye-Tracking data: a pilot study.
Proceedings of the International Conference on Cyberworlds, 2022

Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

An Enhanced Multi-Phase Stochastic Differential Evolution Framework for Numerical Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
An Adaptive Resource Allocation Strategy for Objective Space Partition-Based Multiobjective Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Differential evolution using improved crowding distance for multimodal multiobjective optimization.
Swarm Evol. Comput., 2021

Evolutionary many-Objective algorithm based on fractional dominance relation and improved objective space decomposition strategy.
Swarm Evol. Comput., 2021

A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems.
Swarm Evol. Comput., 2021

A Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results.
Swarm Evol. Comput., 2021

Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends.
Swarm Evol. Comput., 2021

Random vector functional link neural network based ensemble deep learning.
Pattern Recognit., 2021

Optimal placement and sizing of FACTS devices for optimal power flow in a wind power integrated electrical network.
Neural Comput. Appl., 2021

An ensemble approach with external archive for multi- and many-objective optimization with adaptive mating mechanism and two-level environmental selection.
Inf. Sci., 2021

Real-parameter constrained optimization using enhanced quality-based cultural algorithm with novel influence and selection schemes.
Inf. Sci., 2021

Least squares KNN-based weighted multiclass twin SVM.
Neurocomputing, 2021

An improved brain storm optimisation algorithm for energy-efficient train operation problem.
Int. J. Bio Inspired Comput., 2021

Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review.
Expert Syst. Appl., 2021

Evolutionary Multitask Optimization: Are we Moving in the Right Direction?
CoRR, 2021

Ensemble deep learning: A review.
CoRR, 2021

An improved iterated greedy algorithm for the distributed assembly permutation flowshop scheduling problem.
Comput. Ind. Eng., 2021

Ensemble of classification models with weighted functional link network.
Appl. Soft Comput., 2021

On the origins of randomization-based feedforward neural networks.
Appl. Soft Comput., 2021

Design and modeling of adaptive IIR filtering systems using a weighted sum - variable length particle swarm optimization.
Appl. Soft Comput., 2021

Walk-forward empirical wavelet random vector functional link for time series forecasting.
Appl. Soft Comput., 2021

Time series classification using diversified Ensemble Deep Random Vector Functional Link and Resnet features.
Appl. Soft Comput., 2021

A Novel Ensemble Method of RVFL For Classification Problem.
Proceedings of the International Joint Conference on Neural Networks, 2021

Co-Trained Random Vector Functional Link Network.
Proceedings of the International Joint Conference on Neural Networks, 2021

Task-Agnostic Continual Learning Using Base-Child Classifiers.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Large Scale Global Optimization Algorithms for IoT Networks: A Comparative Study.
Proceedings of the 17th International Conference on Distributed Computing in Sensor Systems, 2021

2020
A test-suite of non-convex constrained optimization problems from the real-world and some baseline results.
Swarm Evol. Comput., 2020

A survey on meta-heuristics for solving disassembly line balancing, planning and scheduling problems in remanufacturing.
Swarm Evol. Comput., 2020

Multi-objective optimal power flow solutions using a constraint handling technique of evolutionary algorithms.
Soft Comput., 2020

Heterogeneous oblique random forest.
Pattern Recognit., 2020

Oblique Decision Tree Ensemble via Twin Bounded SVM.
Expert Syst. Appl., 2020

Non-iterative Learning Approaches and Their Applications.
Cogn. Comput., 2020

Regularized robust fuzzy least squares twin support vector machine for class imbalance learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Adaptive Ensemble Variants of Random Vector Functional Link Networks.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Minimum Variance Embedded Random Vector Functional Link Network.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Oblique Random Forests on Residual Network Features.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

MMOGA for Solving Multimodal Multiobjective Optimization Problems with Local Pareto Sets.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Voting-mechanism based ensemble constraint handling technique for real-world single-objective constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Differential Evolution Algorithm with Q-Learning for Solving Engineering Design Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Large Initial Population and Neighborhood Search incorporated in LSHADE to solve CEC2020 Benchmark Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Meta-Heuristics for Bi-Objective Urban Traffic Light Scheduling Problems.
IEEE Trans. Intell. Transp. Syst., 2019

Solving Traffic Signal Scheduling Problems in Heterogeneous Traffic Network by Using Meta-Heuristics.
IEEE Trans. Intell. Transp. Syst., 2019

$I_{\rm SDE}$ + - An Indicator for Multi and Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2019

Flexible Job-Shop Rescheduling for New Job Insertion by Using Discrete Jaya Algorithm.
IEEE Trans. Cybern., 2019

Ensemble strategies for population-based optimization algorithms - A survey.
Swarm Evol. Comput., 2019

Bio-inspired computation: Where we stand and what's next.
Swarm Evol. Comput., 2019

Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties.
Swarm Evol. Comput., 2019

Solving dynamic economic emission dispatch problem considering wind power by multi-objective differential evolution with ensemble of selection method.
Nat. Comput., 2019

Bacterial foraging optimization algorithm in robotic cells with sequence-dependent setup times.
Knowl. Based Syst., 2019

Fusion of multiple indicators with ensemble incremental learning techniques for stock price forecasting.
J. Bank. Financial Technol., 2019

General twin support vector machine with pinball loss function.
Inf. Sci., 2019

Random Vector Functional Link Neural Network based Ensemble Deep Learning.
CoRR, 2019

Dynamic economic emission dispatch based on multi-objective pigeon-inspired optimization with double disturbance.
Sci. China Inf. Sci., 2019

Comprehensive evaluation of twin SVM based classifiers on UCI datasets.
Appl. Soft Comput., 2019

Stacked autoencoder based deep random vector functional link neural network for classification.
Appl. Soft Comput., 2019

Optimal reactive power dispatch with uncertainties in load demand and renewable energy sources adopting scenario-based approach.
Appl. Soft Comput., 2019

An efficient Differential Evolution algorithm for stochastic OPF based active-reactive power dispatch problem considering renewable generators.
Appl. Soft Comput., 2019

Unit commitment using time-ahead priority list and heterogeneous comprehensive learning PSO.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Classification of Stock Market Trends with Confidence-Based Selective Predictions.
Proceedings of the Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing, 2019

Evolutionary Computation for Theatre Hall Acoustics.
Proceedings of the Optimization in Industry, Present Practices and Future Scopes., 2019

2018
A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems.
Swarm Evol. Comput., 2018

Population topologies for particle swarm optimization and differential evolution.
Swarm Evol. Comput., 2018

Ensemble of parameters in a sinusoidal differential evolution with niching-based population reduction.
Swarm Evol. Comput., 2018

Real-parameter unconstrained optimization based on enhanced fitness-adaptive differential evolution algorithm with novel mutation.
Soft Comput., 2018

High-quality face image generated with conditional boundary equilibrium generative adversarial networks.
Pattern Recognit. Lett., 2018

Ensemble incremental learning Random Vector Functional Link network for short-term electric load forecasting.
Knowl. Based Syst., 2018

Ensemble of differential evolution variants.
Inf. Sci., 2018

An improved differential evolution algorithm using efficient adapted surrogate model for numerical optimization.
Inf. Sci., 2018

A balanced fuzzy Cultural Algorithm with a modified Levy flight search for real parameter optimization.
Inf. Sci., 2018

An improved class of real-coded Genetic Algorithms for numerical optimization<sup>✰</sup>.
Neurocomputing, 2018

Optimal power flow solutions using differential evolution algorithm integrated with effective constraint handling techniques.
Eng. Appl. Artif. Intell., 2018

A hybrid cuckoo search algorithm in parallel batch processing machines with unequal job ready times.
Comput. Ind. Eng., 2018

Preface special issue on non-iterative approaches in learning.
Appl. Soft Comput., 2018

Letter: On non-iterative learning algorithms with closed-form solution.
Appl. Soft Comput., 2018

An ensemble of decision trees with random vector functional link networks for multi-class classification.
Appl. Soft Comput., 2018

Ensemble Incremental Random Vector Functional Link Network for Short-term Crude Oil Price Forecasting.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Dropout and DropConnect based Ensemble of Random Vector Functional Link Neural Network.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Optimal Power Flow Solutions Using Algorithm Success History Based Adaptive Differential Evolution with Linear Population Reduction.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Enhancing Multi-Class Classification of Random Forest using Random Vector Functional Neural Network and Oblique Decision Surfaces.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Differential Evolution with Stochastic Selection for Uncertain Environments: A Smart Grid Application.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Distribution Network Reconfiguration Together with Distributed Generator and Shunt Capacitor Allocation for Loss Minimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Visual Tracking With Convolutional Random Vector Functional Link Network.
IEEE Trans. Cybern., 2017

An Adaptive Multipopulation Differential Evolution With Dynamic Population Reduction.
IEEE Trans. Cybern., 2017

Computing with the collective intelligence of honey bees - A survey.
Swarm Evol. Comput., 2017

A hybrid artificial bee colony algorithm for the job-shop scheduling problem with no-wait constraint.
Soft Comput., 2017

Robust visual tracking via co-trained Kernelized correlation filters.
Pattern Recognit., 2017

Oblique random forest ensemble via Least Square Estimation for time series forecasting.
Inf. Sci., 2017

CADE: A hybridization of Cultural Algorithm and Differential Evolution for numerical optimization.
Inf. Sci., 2017

Iterated greedy algorithms for the blocking flowshop scheduling problem with makespan criterion.
Comput. Oper. Res., 2017

Benchmarking Ensemble Classifiers with Novel Co-Trained Kernal Ridge Regression and Random Vector Functional Link Ensembles [Research Frontier].
IEEE Comput. Intell. Mag., 2017

Using variable reduction strategy to accelerate evolutionary optimization.
Appl. Soft Comput., 2017

Empirical Mode Decomposition based ensemble deep learning for load demand time series forecasting.
Appl. Soft Comput., 2017

Ensemble particle swarm optimizer.
Appl. Soft Comput., 2017

Minimizing harmonic distortion in power system with optimal design of hybrid active power filter using differential evolution.
Appl. Soft Comput., 2017

A multiobjective approach for optimal placement and sizing of distributed generators and capacitors in distribution network.
Appl. Soft Comput., 2017

Short-term wind power ramp forecasting with empirical mode decomposition based ensemble learning techniques.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A heterogeneous ensemble of trees.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Optimal reconfiguration and distributed generator allocation in distribution network using an advanced adaptive differential evolution.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

An Ensemble of Kernel Ridge Regression for Multi-class Classification.
Proceedings of the International Conference on Computational Science, 2017

Short-term Electricity Price Forecasting with Empirical Mode Decomposition based Ensemble Kernel Machines.
Proceedings of the International Conference on Computational Science, 2017

Robust Visual Tracking Using Oblique Random Forests.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Stock Price Forecasting with Empirical Mode Decomposition Based Ensemble \nu -Support Vector Regression Model.
Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2017

Optimal placement of wind turbines in a windfarm using L-SHADE algorithm.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Minimizing THD of multilevel inverters with optimal values of DC voltages and switching angles using LSHADE-EpSin algorithm.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

A novel differential crossover strategy based on covariance matrix learning with Euclidean neighborhood for solving real-world problems.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Ensemble sinusoidal differential covariance matrix adaptation with Euclidean neighborhood for solving CEC2017 benchmark problems.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
A Novel Empirical Mode Decomposition With Support Vector Regression for Wind Speed Forecasting.
IEEE Trans. Neural Networks Learn. Syst., 2016

Leveraged Neighborhood Restructuring in Cultural Algorithms for Solving Real-World Numerical Optimization Problems.
IEEE Trans. Evol. Comput., 2016

Ensemble and Arithmetic Recombination-Based Speciation Differential Evolution for Multimodal Optimization.
IEEE Trans. Cybern., 2016

Novel benchmark functions for continuous multimodal optimization with comparative results.
Swarm Evol. Comput., 2016

Recent advances in differential evolution - An updated survey.
Swarm Evol. Comput., 2016

Artificial bee colony algorithm for scheduling and rescheduling fuzzy flexible job shop problem with new job insertion.
Knowl. Based Syst., 2016

A modified cultural algorithm with a balanced performance for the differential evolution frameworks.
Knowl. Based Syst., 2016

Discrete harmony search algorithm for flexible job shop scheduling problem with multiple objectives.
J. Intell. Manuf., 2016

A comprehensive evaluation of random vector functional link networks.
Inf. Sci., 2016

A survey of randomized algorithms for training neural networks.
Inf. Sci., 2016

Differential evolution with multi-population based ensemble of mutation strategies.
Inf. Sci., 2016

Random vector functional link network for short-term electricity load demand forecasting.
Inf. Sci., 2016

Economic emission dispatch problems with stochastic wind power using summation based multi-objective evolutionary algorithm.
Inf. Sci., 2016

A decremental stochastic fractal differential evolution for global numerical optimization.
Inf. Sci., 2016

A novel hybrid Cultural Algorithms framework with trajectory-based search for global numerical optimization.
Inf. Sci., 2016

An improved artificial bee colony algorithm for flexible job-shop scheduling problem with fuzzy processing time.
Expert Syst. Appl., 2016

Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article].
IEEE Comput. Intell. Mag., 2016

Optimization of Wind Turbine Rotor Diameters and Hub Heights in a Windfarm Using Differential Evolution Algorithm.
Proceedings of Sixth International Conference on Soft Computing for Problem Solving, 2016

Electricity load demand time series forecasting with Empirical Mode Decomposition based Random Vector Functional Link network.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

An ensemble of differential evolution algorithms with variable neighborhood search for constrained function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Multi-objective optimization for shading devices in buildings by using evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Multi-objective harmony search algorithm for layout design in theatre hall acoustics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

An ensemble sinusoidal parameter adaptation incorporated with L-SHADE for solving CEC2014 benchmark problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Differential evolution with stochastic fractal search algorithm for global numerical optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Oblique Decision Tree Ensemble via Multisurface Proximal Support Vector Machine.
IEEE Trans. Cybern., 2015

Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation.
Swarm Evol. Comput., 2015

Editorial for the special issue of Information Sciences Journal (ISJ) on "Nature-inspired algorithms for large scale global optimization".
Inf. Sci., 2015

Modeling of steelmaking process with effective machine learning techniques.
Expert Syst. Appl., 2015

A two-stage artificial bee colony algorithm scheduling flexible job-shop scheduling problem with new job insertion.
Expert Syst. Appl., 2015

Effective ensembles of heuristics for scheduling flexible job shop problem with new job insertion.
Comput. Ind. Eng., 2015

A variable reduction strategy for evolutionary algorithms handling equality constraints.
Appl. Soft Comput., 2015

Multi-population differential evolution with balanced ensemble of mutation strategies for large-scale global optimization.
Appl. Soft Comput., 2015

Computational intelligence in sports: Challenges and opportunities within a new research domain.
Appl. Math. Comput., 2015

Detecting Wind Power Ramp with Random Vector Functional Link (RVFL) Network.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Visual Tracking with Convolutional Neural Network.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Modified Artificial Bee Colony Algorithm with Comprehensive Learning Re-initialization Strategy.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Self-adaptive Ensemble Differential Evolution with Sampled Parameter Values for Unit Commitment.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2015

Cluster-Based Differential Evolution with Heterogeneous Influence for numerical optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Random Forests with ensemble of feature spaces.
Pattern Recognit., 2014

Solving the steelmaking casting problem using an effective fruit fly optimisation algorithm.
Knowl. Based Syst., 2014

Achieving high robustness and performance in QoS-aware route planning for IPTV networks.
Inf. Sci., 2014

Pareto-based grouping discrete harmony search algorithm for multi-objective flexible job shop scheduling.
Inf. Sci., 2014

Analyzing convergence performance of evolutionary algorithms: A statistical approach.
Inf. Sci., 2014

Unit commitment - a survey and comparison of conventional and nature inspired algorithms.
Int. J. Bio Inspired Comput., 2014

Solving system-level synthesis problem by a multi-objective estimation of distribution algorithm.
Expert Syst. Appl., 2014

Bilevel Optimization Using Bacteria Foraging Optimization Algorithm.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014

Differential Evolution with Two Subpopulations.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014

Towards generating random forests via extremely randomized trees.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

Empirical mode decomposition based adaboost-backpropagation neural network method for wind speed forecasting.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Ensemble Learning, 2014

Ensemble deep learning for regression and time series forecasting.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Ensemble Learning, 2014

Gaussian adaptation based parameter adaptation for differential evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Niching-based Self-adaptive Ensemble DE with MMTS for solving dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Evolutionary multiobjective optimization in dynamic environments: A set of novel benchmark functions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Cultural Algorithms applied to the evolution of robotic soccer team tactics: A novel perspective.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
A Distance-Based Locally Informed Particle Swarm Model for Multimodal Optimization.
IEEE Trans. Evol. Comput., 2013

Empirical investigations into the exponential crossover of differential evolutions.
Swarm Evol. Comput., 2013

Risk minimization in biometric sensor networks: an evolutionary multi-objective optimization approach.
Soft Comput., 2013

A variable iterated greedy algorithm with differential evolution for the no-idle permutation flowshop scheduling problem.
Comput. Oper. Res., 2013

Conference Report for 2013 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2013) [Conference Reports].
IEEE Comput. Intell. Mag., 2013

Comprehensive learning particle swarm optimizer with guidance vector selection.
Proceedings of the 2013 IEEE Symposium on Swarm Intelligence, 2013

Migrating forager population in a multi-population Artificial Bee Colony algorithm with modified perturbation schemes.
Proceedings of the 2013 IEEE Symposium on Swarm Intelligence, 2013

A General Variable Neighborhood Search Algorithm for the No-Idle Permutation Flowshop Scheduling Problem.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013

Improved Adaptive Differential Evolution Algorithm with External Archive.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013

Load Information Based Priority Dependant Heuristic for Manpower Scheduling Problem in Remanufacturing.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013

A Novel Improved Discrete ABC Algorithm for Manpower Scheduling Problem in Remanufacturing.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013

Ensemble crowding differential evolution with neighborhood mutation for multimodal optimization.
Proceedings of the 2013 IEEE Symposium on Differential Evolution, 2013

Statistical analysis of convergence performance throughout the evolutionary search: A case study with SaDE-MMTS and Sa-EPSDE-MMTS.
Proceedings of the 2013 IEEE Symposium on Differential Evolution, 2013

Synchronizing Differential Evolution with a modified affinity-based mutation framework.
Proceedings of the 2013 IEEE Symposium on Differential Evolution, 2013

A Swarm Intelligence Approach to Flexible Job-Shop Scheduling Problem with No-Wait Constraint in Remanufacturing.
Proceedings of the Artificial Intelligence and Soft Computing, 2013

Differential evolution: recent advances.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Crowding-based local differential evolution with speciation-based memory archive for dynamic multimodal optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Hybrid discrete harmony search algorithm for scheduling re-processing problem in remanufacturing.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

A hybrid ARIMA-DENFIS method for wind speed forecasting.
Proceedings of the FUZZ-IEEE 2013, 2013

An enhanced migrating birds optimization algorithm for no-wait flow shop scheduling problem.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Scheduling, 2013

Metaheuristic algorithms for the quadratic assignment problem.
Proceedings of the IEEE Symposium on Computational Intelligence In Production And Logistics Systems, 2013

Instance based random forest with rotated feature space.
Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013

K-nearest neighbor based bagging SVM pruning.
Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013

Adaptive Differential Evolution with Locality based Crossover for Dynamic Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Improved CMA-ES with Memory based Directed Individual Generation for Real Parameter Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Decomposition-Based Multiobjective Evolutionary Algorithm With an Ensemble of Neighborhood Sizes.
IEEE Trans. Evol. Comput., 2012

Differential Evolution With Neighborhood Mutation for Multimodal Optimization.
IEEE Trans. Evol. Comput., 2012

Efficient constraint handling for optimal reactive power dispatch problems.
Swarm Evol. Comput., 2012

Niching particle swarm optimization with local search for multi-modal optimization.
Inf. Sci., 2012

A dynamic neighborhood learning based particle swarm optimizer for global numerical optimization.
Inf. Sci., 2012

A Differential Covariance Matrix Adaptation Evolutionary Algorithm for real parameter optimization.
Inf. Sci., 2012

Differential Evolution Algorithm: Recent Advances.
Proceedings of the Theory and Practice of Natural Computing, 2012

Ensemble of Clearing Differential Evolution for Multi-modal Optimization.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

A Hybrid Discrete Differential Evolution Algorithm for Economic Lot Scheduling Problem with Time Variant Lot Sizing.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012

Discrete Harmony Search Algorithm for Dynamic FJSSP in Remanufacturing Engineering.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012

A kernel-ensemble bagging support vector machine.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

Pareto-based discrete harmony search algorithm for flexible job shop scheduling.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

A Variable Iterated Greedy Algorithm with Differential Evolution for Solving No-Idle Flowshops.
Proceedings of the Swarm and Evolutionary Computation, 2012

Solving Fuzzy Job-Shop Scheduling Problem by a Hybrid PSO Algorithm.
Proceedings of the Swarm and Evolutionary Computation, 2012

Empirical comparison of bagging-based ensemble classifiers.
Proceedings of the 15th International Conference on Information Fusion, 2012

Comprehensive comparison of convergence performance of optimization algorithms based on nonparametric statistical tests.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Design of Fractional Order Controller for a servohydraulic positioning system with micro Artificial Bee Colony algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

An improved multi-objective optimization algorithm based on fuzzy dominance for risk minimization in biometric sensor network.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Dynamic Multi-Swarm Particle Swarm Optimization for Multi-objective optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Ensemble Differential Evolution with dynamic subpopulations and adaptive clearing for solving dynamic optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

A composite heuristic for the no-wait flow shop scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Guest Editorial Special Issue on Differential Evolution.
IEEE Trans. Evol. Comput., 2011

Differential Evolution: A Survey of the State-of-the-Art.
IEEE Trans. Evol. Comput., 2011

Multiobjective evolutionary algorithms: A survey of the state of the art.
Swarm Evol. Comput., 2011

Real-parameter evolutionary multimodal optimization - A survey of the state-of-the-art.
Swarm Evol. Comput., 2011

Self-adaptive differential evolution with multi-trajectory search for large-scale optimization.
Soft Comput., 2011

Multi-objective robust PID controller tuning using two lbests multi-objective particle swarm optimization.
Inf. Sci., 2011

A discrete artificial bee colony algorithm for the total flowtime minimization in permutation flow shops.
Inf. Sci., 2011

A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem.
Inf. Sci., 2011

Dynamic multi-swarm particle swarm optimizer with harmony search.
Expert Syst. Appl., 2011

A local-best harmony search algorithm with dynamic sub-harmony memories for lot-streaming flow shop scheduling problem.
Expert Syst. Appl., 2011

Constrained self-adaptive differential evolution based design of robust optimal fixed structure controller.
Eng. Appl. Artif. Intell., 2011

A differential evolution algorithm with self-adapting strategy and control parameters.
Comput. Oper. Res., 2011

Differential evolution algorithm with ensemble of parameters and mutation strategies.
Appl. Soft Comput., 2011

Design of Two Channel Quadrature Mirror Filter Bank: A Multi-Objective Approach.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011

Synthesis and Design of Thinned Planar Concentric Circular Antenna Array - A Multi-objective Approach.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011

Non-uniform Circular-Shaped Antenna Array Design and Synthesis - A Multi-Objective Approach.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011

A differential evolution algorithm for the median cycle problem.
Proceedings of the 2011 IEEE Symposium on Differential Evolution, 2011

Constrained real parameter optimization with a gradient repair based Differential Evolution algorithm.
Proceedings of the 2011 IEEE Symposium on Differential Evolution, 2011

Multi-objective differential evolution based on the summation of normalized objectives and improved selection method.
Proceedings of the 2011 IEEE Symposium on Differential Evolution, 2011

Global supervision for compact Differential Evolution.
Proceedings of the 2011 IEEE Symposium on Differential Evolution, 2011

A differential covariance matrix adaptation evolutionary algorithm for global optimization.
Proceedings of the 2011 IEEE Symposium on Differential Evolution, 2011

Super-fit and population size reduction in compact Differential Evolution.
Proceedings of the 2011 IEEE Workshop on Memetic Computing, 2011

Memetic Fitness Euclidean-Distance Particle Swarm Optimization for Multi-modal Optimization.
Proceedings of the Bio-Inspired Computing and Applications, 2011

Modified differential evolution with local search algorithm for real world optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Ensemble differential evolution algorithm for CEC2011 problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Ensemble strategies in Compact Differential Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Ensemble of Constraint Handling Techniques.
IEEE Trans. Evol. Comput., 2010

Identification and analysis of transcription factor family-specific features derived from DNA and protein information.
Pattern Recognit. Lett., 2010

Multi-objective differential evolution with diversity enhancement.
J. Zhejiang Univ. Sci. C, 2010

Ensemble of niching algorithms.
Inf. Sci., 2010

Multi-objective evolutionary algorithms based on the summation of normalized objectives and diversified selection.
Inf. Sci., 2010

Ensemble strategies with adaptive evolutionary programming.
Inf. Sci., 2010

A novel hybrid discrete differential evolution algorithm for blocking flow shop scheduling problems.
Comput. Oper. Res., 2010

An ensemble of discrete differential evolution algorithms for solving the generalized traveling salesman problem.
Appl. Math. Comput., 2010

A self-adaptive global best harmony search algorithm for continuous optimization problems.
Appl. Math. Comput., 2010

Self-adaptive Differential Evolution with Modified Multi-Trajectory Search for CEC'2010 Large Scale Optimization.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

Dynamic Grouping Crowding Differential Evolution with Ensemble of Parameters for Multi-modal Optimization.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

Constraint Handling in Transmission Network Expansion Planning.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

Differential Evolution Algorithm with Ensemble of Parameters and Mutation and Crossover Strategies.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

Synthesis of Difference Patterns for Monopulse Antenna Arrays - An Evolutionary Multi-objective Optimization Approach.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

Multiobjective Particle Swarm optimizer with dynamic epsilon-dominance sorting.
Proceedings of the Second World Congress on Nature & Biologically Inspired Computing, 2010

Current position-based Fitness Euclidean-distance Ratio Particle Swarm Optimizer for multi-modal optimization.
Proceedings of the Second World Congress on Nature & Biologically Inspired Computing, 2010

Multi-objective robust PID controller tuning using multi-objective differential evolution.
Proceedings of the 11th International Conference on Control, 2010

Multi objective evolutionary programming to solve environmental economic dispatch problem.
Proceedings of the 11th International Conference on Control, 2010

A Novel Support Vector Machine Approach to High Entropy Data Fragment Classification.
Proceedings of the South African Information Security Multi-Conference, 2010

Dynamic multi-swarm particle swarm optimizer with sub-regional harmony search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

An ensemble of differential evolution algorithms for constrained function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

A discrete artificial bee colony algorithm for the permutation flow shop scheduling problem with total flowtime criterion.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Artificial foraging weeds for global numerical optimization over continuous spaces.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Novel multimodal problems and differential evolution with ensemble of restricted tournament selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Constrained multi-objective optimization algorithm with diversity enhanced differential evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Solving lot-streaming flow shop scheduling problems using a discrete harmony search algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Differential evolution with ensemble of constraint handling techniques for solving CEC 2010 benchmark problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Achieving high robustness and performance in performing QoS-aware route planning for IPTV networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Integration of functional information of genes in fuzzy clustering of short time series gene expression data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization.
IEEE Trans. Evol. Comput., 2009

Identification of structurally conserved residues of proteins in absence of structural homologs using neural network ensemble.
Bioinform., 2009

Ensemble for Solving Quadratic Assignment Problems.
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009

Tutorial: Evolutionary programming with diversity enhancement and ensemble strategies.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2009

Diversity enhanced particle swarm optimizer for global optimization of multimodal problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Evolutionary programming with ensemble of explicit memories for dynamic optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Differential Evolution Algorithms for the Generalized Assignment problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

A differential evolution algorithm with variable parameter search for real-parameter continuous function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Multi-objective evolutionary programming without non-domination sorting is up to twenty times faster.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

A Harmony Search Algorithm with Ensemble of Parameter Sets.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Diversity enhanced Adaptive Evolutionary Programming for solving single objective constrained problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Multi-objective optimization using self-adaptive differential evolution algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
MegaMotifBase: a database of structural motifs in protein families and superfamilies.
Nucleic Acids Res., 2008

Prediction of Transcription Factor Families Using DNA Sequence Features.
Proceedings of the Pattern Recognition in Bioinformatics, 2008

Dynamic multi-swarm particle swarm optimizer with local search for Large Scale Global Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Empirical comparison of niching methods on hybrid composition functions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Differential evolution and Evolutionary Programming for solving non-convex economic dispatch problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Upper bounds on Taillard's benchmark suite for the no-wait flowshop scheduling problem with makespan criterion.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Evaluation of novel adaptive evolutionary programming on four constraint handling techniques.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Empirical study on the effect of population size on Differential evolution Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
A machine learning approach for the identification of odorant binding proteins from sequence-derived properties.
BMC Bioinform., 2007

SMotif: a server for structural motifs in proteins.
Bioinform., 2007

A discrete particle swarm optimization algorithm for the generalized traveling salesman problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

A Discrete Differential Evolution Algorithm for the No-Wait Flowshop Scheduling Problem with Total Flowtime Criterion.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, 2007

A Discrete Differential Evolution Algorithm for the Total Earliness and Tardiness Penalties with a Common Due Date on a Single-Machine.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, 2007

Improved MOCLPSO algorithm for environmental/economic dispatch.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A genetic algorithm for the generalized traveling salesman problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A multi-layered solution for supporting isp traffic demand using genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Multi-objective optimization based on self-adaptive differential evolution algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

LisBON: A framework for parallelisation and hybridisation of optimisation algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions.
IEEE Trans. Evol. Comput., 2006

Generalized null space uncorrelated Fisher discriminant analysis for linear dimensionality reduction.
Pattern Recognit., 2006

Performance Evaluation of Multiagent Genetic Algorithm.
Nat. Comput., 2006

An analysis of diversity measures.
Mach. Learn., 2006

Comprehensive learning particle swarm optimizer for solving multiobjective optimization problems.
Int. J. Intell. Syst., 2006

Gene selection algorithms for microarray data based on least squares support vector machine.
BMC Bioinform., 2006

Adaptive Comprehensive Learning Particle Swarm Optimizer with History Learning.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Efficient Feature Extraction Based on Regularized Uncorrelated Chernoff Discriminant Analysis.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Personal Identification System based on Multiple Palmprint Features.
Proceedings of the Ninth International Conference on Control, 2006

Genetic Algorithm for Silhouette Matching.
Proceedings of the Ninth International Conference on Control, 2006

Feature Selection Approach for Quantitative Prediction of Transcriptional Activities.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006

A Multi-Populated Differential Evolution Algorithm for Solving Constrained Optimization Problem.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Dynamic Multi-Swarm Particle Swarm Optimizer with a Novel Constraint-Handling Mechanism.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Self-adaptive Differential Evolution Algorithm for Constrained Real-Parameter Optimization.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Evolutionary extreme learning machine.
Pattern Recognit., 2005

Linear dimensionality reduction using relevance weighted LDA.
Pattern Recognit., 2005

Uncorrelated heteroscedastic LDA based on the weighted pairwise Chernoff criterion.
Pattern Recognit., 2005

Enhanced neural gas network for prototype-based clustering.
Pattern Recognit., 2005

Initialization insensitive LVQ algorithm based on cost-function adaptation.
Pattern Recognit., 2005

Novel composition test functions for numerical global optimization.
Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005

Dynamic multi-swarm particle swarm optimizer.
Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005

Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

Self-adaptive differential evolution algorithm for numerical optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Dynamic multi-swarm particle swarm optimizer with local search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Enhanced Direct Linear Discriminant Analysis for Feature Extraction on High Dimensional Data.
Proceedings of the Proceedings, 2005

2004
Robust growing neural gas algorithm with application in cluster analysis.
Neural Networks, 2004

An Accumulation Algorithm for Video Shot Boundary Detection.
Multim. Tools Appl., 2004

A new generalized LVQ algorithm via harmonic to minimum distance measure transition.
Proceedings of the IEEE International Conference on Systems, 2004

Particle swarm optimization algorithms with novel learning strategies.
Proceedings of the IEEE International Conference on Systems, 2004

A Novel Kernel Prototype-Based Learning Algorithm.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Kernel Neural Gas Algorithms with Application to Cluster Analysis.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Nonlinear Feature Extraction Using Evolutionary Algorithm.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Evaluation of Comprehensive Learning Particle Swarm Optimizer.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Multiclass protein fold recognition using multiobjective evolutionary algorithms.
Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2004

Generalized LDA using relevance weighting and evolution strategy.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

A novel concurrent particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Concurrent PSO and FDR-PSO based reconfigurable phase-differentiated antenna array design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Structural pattern recognition using genetic algorithms with specialized operators.
IEEE Trans. Syst. Man Cybern. Part B, 2003

Video shot motion characterization based on hierarchical overlapped growing neural gas networks.
Multim. Syst., 2003

Boosting the HONG network.
Neurocomputing, 2003

Feature Analysis and Classification of Protein Secondary Structure Data.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
Shape indexing using self-organizing maps.
IEEE Trans. Neural Networks, 2002

Evaluation of genetic operators and solution representations for shape recognition by genetic algorithms.
Pattern Recognit. Lett., 2002

Structural pattern recognition using genetic algorithms.
Pattern Recognit., 2002

Neural Network Based Temporal Video Segmentation.
Int. J. Neural Syst., 2002

Objective function decomposition within genetic algorithm.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
Pattern classification using multiple hierarchical overlapped self-organising maps.
Pattern Recognit., 2001

Shapesom.
Proceedings of the Advances in Self-Organising Maps, 2001

Evaluation of Distance Measures for Partial Image Retrieval Using Self-Organizing Map.
Proceedings of the Artificial Neural Networks, 2001

Video Sequence Boundary Detection Using Neural Gas Networks.
Proceedings of the Artificial Neural Networks, 2001

Multiple relational graphs mapping using genetic algorithms.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

2000
Hierarchical overlapped neural gas network with application to pattern classification.
Neurocomputing, 2000

On the Performance of the HONG Network for Pattern Classification.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Hopfield network with constraint parameter adaptation for overlapped shape recognition.
IEEE Trans. Neural Networks, 1999

Hierarchical overlapped SOM's for pattern classification.
IEEE Trans. Neural Networks, 1999

Solving jigsaw puzzles using Hopfield neural networks.
Proceedings of the International Joint Conference Neural Networks, 1999

Combining multiple HONG networks for recognizing unconstrained handwritten numerals.
Proceedings of the International Joint Conference Neural Networks, 1999

Combining Classifiers based on Confidence Values.
Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999

Particle swarm optimiser with neighbourhood operator.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998
Optimal encoding of graph homomorphism energy using fuzzy information aggregation operators.
Pattern Recognit., 1998

Recognition of handprinted Chinese characters by constrained graph matching.
Image Vis. Comput., 1998

Pattern Classification Using Multiple SOMs.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997
Optimal mapping of graph homomorphism onto self organising Hopfield network.
Image Vis. Comput., 1997

Structure Adaptive Multilayer SOM with Partial Supervision for Numeral Recognition.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

1996
Handwritten Chinese character recognition by ARG matching using self-organising Hopfield neural network.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995
Pattern recognition by graph matching using the Potts MFT neural networks.
Pattern Recognit., 1995

Self-organizing Hopfield network for attributed relational graph matching.
Image Vis. Comput., 1995

Pattern recognition by homomorphic graph matching using Hopfield neural networks.
Image Vis. Comput., 1995

Fuzzy connectives based optimal mapping of homomorphic ARG matching onto self-organising Hopfield network.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Learning critical temperature for homomorphic ARG matching by self-organising Hopfield network.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1994
On Attributed Relational Graph Matching Using Hopfield Network.
Proceedings of the Eleventh European Conference on Artificial Intelligence, 1994


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