Ponnuthurai N. Suganthan
Orcid: 0000-0003-0901-5105Affiliations:
- 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:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2015, "For contributions to optimization using evolutionary and swarm algorithms".
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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on d-nb.info
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on ntu.edu.sg
On csauthors.net:
Bibliography
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
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
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
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
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
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
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
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
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
IEEE Trans. Aerosp. Electron. Syst., December, 2023
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
IEEE Robotics Autom. Lett., June, 2023
IEEE Trans. Syst. Man Cybern. Syst., May, 2023
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
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
Inf. Sci., 2023
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
A Reinforcement Learning-assisted Genetic Programming Algorithm for Team Formation Problem Considering Person-Job Matching.
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
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
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
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
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
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
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
Inf. Sci., 2022
Automated layer-wise solution for ensemble deep randomized feed-forward neural network.
Neurocomputing, 2022
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
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
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
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
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
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
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
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
CoRR, 2021
An improved iterated greedy algorithm for the distributed assembly permutation flowshop scheduling problem.
Comput. Ind. Eng., 2021
Appl. Soft Comput., 2021
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
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
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
Regularized robust fuzzy least squares twin support vector machine for class imbalance learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
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
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
IEEE Trans. Evol. Comput., 2019
Flexible Job-Shop Rescheduling for New Job Insertion by Using Discrete Jaya Algorithm.
IEEE Trans. Cybern., 2019
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
CoRR, 2019
Dynamic economic emission dispatch based on multi-objective pigeon-inspired optimization with double disturbance.
Sci. China Inf. Sci., 2019
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
Proceedings of the Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing, 2019
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
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
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
Appl. Soft Comput., 2018
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
IEEE Trans. Cybern., 2017
An Adaptive Multipopulation Differential Evolution With Dynamic Population Reduction.
IEEE Trans. Cybern., 2017
Swarm Evol. Comput., 2017
A hybrid artificial bee colony algorithm for the job-shop scheduling problem with no-wait constraint.
Soft Comput., 2017
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
Appl. Soft Comput., 2017
Empirical Mode Decomposition based ensemble deep learning for load demand time series forecasting.
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
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
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
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
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
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
Inf. Sci., 2016
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
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
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
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
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
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
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014
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
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Ensemble Learning, 2014
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
IEEE Trans. Evol. Comput., 2013
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
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
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
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
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
Proceedings of the IEEE Symposium on Computational Intelligence In Production And Logistics Systems, 2013
Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013
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
IEEE Trans. Evol. Comput., 2012
Swarm Evol. Comput., 2012
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
Proceedings of the Theory and Practice of Natural Computing, 2012
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
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012
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
Proceedings of the Swarm and Evolutionary Computation, 2012
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
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
IEEE Trans. Evol. Comput., 2011
IEEE Trans. Evol. Comput., 2011
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
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
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
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
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
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
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
2010
Identification and analysis of transcription factor family-specific features derived from DNA and protein information.
Pattern Recognit. Lett., 2010
J. Zhejiang Univ. Sci. C, 2010
Multi-objective evolutionary algorithms based on the summation of normalized objectives and diversified selection.
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
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
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
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
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
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
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
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
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
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
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
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
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
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
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
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
Proceedings of the Ninth International Conference on Control, 2006
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
Pattern Recognit., 2005
Pattern Recognit., 2005
Pattern Recognit., 2005
Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005
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
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
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
Neural Networks, 2004
Multim. Tools Appl., 2004
Proceedings of the IEEE International Conference on Systems, 2004
Proceedings of the IEEE International Conference on Systems, 2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Proceedings of the Neural Information Processing, 11th International Conference, 2004
Proceedings of the Neural Information Processing, 11th International Conference, 2004
Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2004
Proceedings of the IEEE Congress on Evolutionary Computation, 2004
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
IEEE Trans. Syst. Man Cybern. Part B, 2003
Video shot motion characterization based on hierarchical overlapped growing neural gas networks.
Multim. Syst., 2003
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
2002
Evaluation of genetic operators and solution representations for shape recognition by genetic algorithms.
Pattern Recognit. Lett., 2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
2001
Pattern Recognit., 2001
Evaluation of Distance Measures for Partial Image Retrieval Using Self-Organizing Map.
Proceedings of the Artificial Neural Networks, 2001
Proceedings of the Artificial Neural Networks, 2001
Proceedings of the 2001 Congress on Evolutionary Computation, 2001
2000
Hierarchical overlapped neural gas network with application to pattern classification.
Neurocomputing, 2000
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
IEEE Trans. Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999
Proceedings of the 1999 Congress on Evolutionary Computation, 1999
1998
Optimal encoding of graph homomorphism energy using fuzzy information aggregation operators.
Pattern Recognit., 1998
Image Vis. Comput., 1998
Pattern Classification Using Multiple SOMs.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
1997
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 Recognit., 1995
Image Vis. Comput., 1995
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