Wenyin Gong

Orcid: 0000-0003-1610-6865

According to our database1, Wenyin Gong authored at least 135 papers between 2006 and 2024.

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Bibliography

2024
A Competitive and Cooperative Evolutionary Framework for Ensemble of Constraint Handling Techniques.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024

Evolutionary multitasking for solving nonlinear equation systems.
Inf. Sci., March, 2024

Evolutionary Multitasking via Reinforcement Learning.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Constrained Multiobjective Optimization via Multitasking and Knowledge Transfer.
IEEE Trans. Evol. Comput., February, 2024

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

Co-Evolution With Deep Reinforcement Learning for Energy-Aware Distributed Heterogeneous Flexible Job Shop Scheduling.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024

Multimodal multi-objective optimization via determinantal point process-assisted evolutionary algorithm.
Neural Comput. Appl., January, 2024

Knowledge-driven two-stage memetic algorithm for energy-efficient flexible job shop scheduling with machine breakdowns.
Expert Syst. Appl., January, 2024

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

2023
A Constraint-Handling Technique for Decomposition-Based Constrained Many-Objective Evolutionary Algorithms.
IEEE Trans. Syst. Man Cybern. Syst., December, 2023

Surprisingly Popular-Based Adaptive Memetic Algorithm for Energy-Efficient Distributed Flexible Job Shop Scheduling.
IEEE Trans. Cybern., December, 2023

Deep reinforcement learning assisted co-evolutionary differential evolution for constrained optimization.
Swarm Evol. Comput., December, 2023

Inverse model and adaptive neighborhood search based cooperative optimizer for energy-efficient distributed flexible job shop scheduling.
Swarm Evol. Comput., December, 2023

Multimodal multi-objective optimization with multi-stage-based evolutionary algorithm.
Memetic Comput., December, 2023

A Competitive and Cooperative Swarm Optimizer for Constrained Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., October, 2023

LTCSO/D: a large-scale tri-particle competitive swarm optimizer based on decomposition for multiobjective optimization.
Appl. Intell., October, 2023

Remote Sensing Image Target Detection and Recognition Based on YOLOv5.
Remote. Sens., September, 2023

Adaptive archive-based multifactorial evolutionary algorithm for constrained multitasking optimization.
Appl. Soft Comput., August, 2023

L-SHADE with parameter decomposition for photovoltaic modules parameter identification under different temperature and irradiance.
Appl. Soft Comput., August, 2023

Two-Stage Reinforcement Learning-Based Differential Evolution for Solving Nonlinear Equations.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023

Adaptive dual niching-based differential evolution with resource reallocation for nonlinear equation systems.
Neural Comput. Appl., June, 2023

Offline data-driven optimization based on dual-scale surrogate ensemble.
Memetic Comput., June, 2023

Neighborhood evolutionary sampling with dynamic repulsion for expensive multimodal optimization.
Inf. Sci., June, 2023

Multitasking optimization via an adaptive solver multitasking evolutionary framework.
Inf. Sci., June, 2023

Evolutionary competitive multitasking optimization via improved adaptive differential evolution.
Expert Syst. Appl., May, 2023

Adaptive Auxiliary Task Selection for Multitasking-Assisted Constrained Multi-Objective Optimization [Feature].
IEEE Comput. Intell. Mag., May, 2023

Balancing Convergence and Diversity in Objective and Decision Spaces for Multimodal Multi-Objective Optimization.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

Two-Stage Data-Driven Evolutionary Optimization for High-Dimensional Expensive Problems.
IEEE Trans. Cybern., April, 2023

A tri-stage competitive swarm optimizer for constrained multi-objective optimization.
Appl. Intell., April, 2023

Evolutionary Sampling Agent for Expensive Problems.
IEEE Trans. Evol. Comput., 2023

A Learning-Based Memetic Algorithm for Energy-Efficient Flexible Job-Shop Scheduling With Type-2 Fuzzy Processing Time.
IEEE Trans. Evol. Comput., 2023

A Constrained Many-Objective Optimization Evolutionary Algorithm With Enhanced Mating and Environmental Selections.
IEEE Trans. Cybern., 2023

Constrained multimodal multi-objective optimization: Test problem construction and algorithm design.
Swarm Evol. Comput., 2023

Handling constrained many-objective optimization problems via determinantal point processes.
Inf. Sci., 2023

Semi-supervised learning with graph convolutional extreme learning machines.
Expert Syst. Appl., 2023

An adaptive neighborhood-based speciation differential evolution for multimodal optimization.
Expert Syst. Appl., 2023

Problem-specific knowledge MOEA/D for energy-efficient scheduling of distributed permutation flow shop in heterogeneous factories.
Eng. Appl. Artif. Intell., 2023

MToP: A MATLAB Optimization Platform for Evolutionary Multitasking.
CoRR, 2023

A Multi-task Framework for Solving Multimodal Multiobjective Optimization Problems.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

A Historical Information Based Differential Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

A Many-objective Evolutionary Algorithm Based on Hybrid Dynamic Decomposition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022
Evolution-Driven Randomized Graph Convolutional Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Hybrid Niching-Based Differential Evolution With Two Archives for Nonlinear Equation System.
IEEE Trans. Syst. Man Cybern. Syst., 2022

A Two-Stage Evolutionary Algorithm With Balanced Convergence and Diversity for Many-Objective Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2022

An Ensemble Framework of Evolutionary Algorithm for Constrained Multi-Objective Optimization.
Symmetry, 2022

Offline data-driven evolutionary optimization based on model selection.
Swarm Evol. Comput., 2022

Constrained multi-objective optimization via two archives assisted push-pull evolutionary algorithm.
Swarm Evol. Comput., 2022

A tri-population based co-evolutionary framework for constrained multi-objective optimization problems.
Swarm Evol. Comput., 2022

Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time.
Swarm Evol. Comput., 2022

Hypergraph Convolutional Subspace Clustering With Multihop Aggregation for Hyperspectral Image.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Domain Knowledge-Based Evolutionary Reinforcement Learning for Sensor Placement.
Sensors, 2022

Multi-objective deep reinforcement learning for emergency scheduling in a water distribution network.
Memetic Comput., 2022

A novelty-search-based evolutionary reinforcement learning algorithm for continuous optimization problems.
Memetic Comput., 2022

A data-driven evolutionary algorithm with multi-evolutionary sampling strategy for expensive optimization.
Knowl. Based Syst., 2022

Multimodal optimization via dynamically hybrid niching differential evolution.
Knowl. Based Syst., 2022

Constrained multi-objective evolutionary algorithm with an improved two-archive strategy.
Knowl. Based Syst., 2022

Constrained evolutionary optimization based on reinforcement learning using the objective function and constraints.
Knowl. Based Syst., 2022

Research on Detection and Recognition of Traffic Signs Based on Convolutional Neural Networks.
Int. J. Swarm Intell. Res., 2022

Adaptive differential evolution with linear population reduction for parameter estimation of solar cell models.
Int. J. Autom. Control., 2022

A reinforcement learning based RMOEA/D for bi-objective fuzzy flexible job shop scheduling.
Expert Syst. Appl., 2022

A two-stage evolutionary algorithm based on three indicators for constrained multi-objective optimization.
Expert Syst. Appl., 2022

Self-adaptive multi-objective evolutionary algorithm for flexible job shop scheduling with fuzzy processing time.
Comput. Ind. Eng., 2022

AGSDE: Archive guided speciation-based differential evolution for nonlinear equations.
Appl. Soft Comput., 2022

Multi-objective optimal power flow with stochastic wind and solar power.
Appl. Soft Comput., 2022

Evolutionary constrained multi-task optimization: benchmark problems and preliminary results.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
Sustainable scheduling of distributed permutation flow-shop with non-identical factory using a knowledge-based multi-objective memetic optimization algorithm.
Swarm Evol. Comput., 2021

An Improved Multioperator-Based Constrained Differential Evolution for Optimal Power Allocation in WSNs.
Sensors, 2021

A simple two-stage evolutionary algorithm for constrained multi-objective optimization.
Knowl. Based Syst., 2021

Automated test case generation based on differential evolution with node branch archive.
Comput. Ind. Eng., 2021

Opposition-based JAYA with population reduction for parameter estimation of photovoltaic solar cells and modules.
Appl. Soft Comput., 2021

A clustering-based differential evolution with different crowding factors for nonlinear equations system.
Appl. Soft Comput., 2021

2020
Solving Nonlinear Equations System With Dynamic Repulsion-Based Evolutionary Algorithms.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Finding Multiple Roots of Nonlinear Equation Systems via a Repulsion-Based Adaptive Differential Evolution.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Multi-objective based scheduling algorithm for sudden drinking water contamination incident.
Swarm Evol. Comput., 2020

Inline wireless mobile sensors and fog nodes placement for leakage detection in water distribution systems.
Softw. Pract. Exp., 2020

Rethinking the differential evolution algorithm.
Serv. Oriented Comput. Appl., 2020

Chaotic-based grey wolf optimizer for numerical and engineering optimization problems.
Memetic Comput., 2020

A decomposition-based differential evolution with reinitialization for nonlinear equations systems.
Knowl. Based Syst., 2020

Modified NSGA-III for sensor placement in water distribution system.
Inf. Sci., 2020

Recognition of the landslide disasters with extreme learning machine.
Int. J. Comput. Sci. Eng., 2020

Memetic niching-based evolutionary algorithms for solving nonlinear equation system.
Expert Syst. Appl., 2020

Graph Convolutional Extreme Learning Machine.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Spark-based intelligent parameter inversion method for prestack seismic data.
Neural Comput. Appl., 2019

Elastic parameter inversion problem based on brain storm optimization algorithm.
Memetic Comput., 2019

Fuzzy neighborhood-based differential evolution with orientation for nonlinear equation systems.
Knowl. Based Syst., 2019

An improved particle swarm optimization algorithm for AVO elastic parameter inversion problem.
Concurr. Comput. Pract. Exp., 2019

A Preference-based Method of Updating the Surrogate Model by Broad Learning and Its Application.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Random Walk Mutation-based DE with EDA for Nonlinear Equations Systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Re-initialization Clustering-Based Adaptive Differential Evolution for Nonlinear Equations Systems.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

2018
Ranking-Based Differential Evolution for Large-Scale Continuous Optimization.
Comput. Informatics, 2018

Particle-swarm Krill Herd Algorithm.
Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018

Using Iterated Greedy with a New Population Approach for the Flexible Jobshop Scheduling Problem.
Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018

Extremized PICEA-g for Nadir Point Estimation in Many-Objective Optimization.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

2017
A Weighted Biobjective Transformation Technique for Locating Multiple Optimal Solutions of Nonlinear Equation Systems.
IEEE Trans. Evol. Comput., 2017

Contaminant source identification of water distribution networks using cultural algorithm.
Concurr. Comput. Pract. Exp., 2017

Multi-objective Optimal Scheduling of Valves and Hydrants for Sudden Drinking Water Pollution Incident.
Proceedings of the Computational Intelligence and Intelligent Systems, 2017

Research on Recognition of Landslides with Remote Sensing Images Based on Extreme Learning Machine.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

Optimal Power Allocation of Wireless Sensor Networks with Multi-operator Based Constrained Differential Evolution.
Proceedings of the Artificial Life and Computational Intelligence, 2017

2016
Classification guided differential evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Ensemble of Different Parameter Adaptation Techniques in Differential Evolution.
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

2015
A Multioperator Search Strategy Based on Cheap Surrogate Models for Evolutionary Optimization.
IEEE Trans. Evol. Comput., 2015

Adaptive Ranking Mutation Operator Based Differential Evolution for Constrained Optimization.
IEEE Trans. Cybern., 2015

Ensemble of different improvements in differential evolution for parameter extraction of PEMFC model.
Int. J. Comput. Appl. Technol., 2015

On neighborhood exploration and subproblem exploitation in decomposition based multiobjective evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Parameter optimization of PEMFC model with improved multi-strategy adaptive differential evolution.
Eng. Appl. Artif. Intell., 2014

Repairing the crossover rate in adaptive differential evolution.
Appl. Soft Comput., 2014

An Adaptive Strategy to Adjust the Components of Memetic Algorithms.
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

The parameter optimization of kalman filter based on multi-objective memetic algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

A new adaptive Kalman filter by combining evolutionary algorithm and fuzzy inference system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Differential Evolution With Ranking-Based Mutation Operators.
IEEE Trans. Cybern., 2013

Swarm Intelligence: Based Cooperation Optimization of Multi-Modal Functions.
Cogn. Comput., 2013

2012
Adaptive Parameter Selection for Strategy Adaptation in Differential Evolution for Continuous Optimization.
J. Comput., 2012

An empirical study on differential evolution for optimal power allocation in WSNs.
Proceedings of the Eighth International Conference on Natural Computation, 2012

2011
Enhanced Differential Evolution With Adaptive Strategies for Numerical Optimization.
IEEE Trans. Syst. Man Cybern. Part B, 2011

Hybrid Differential Evolution with Convex Mutation.
J. Softw., 2011

Adaptive strategy selection in differential evolution for numerical optimization: An empirical study.
Inf. Sci., 2011

A Generalized Hybrid Generation Scheme of Differential Evolution for Global Numerical Optimization.
Int. J. Comput. Intell. Appl., 2011

A clustering-based differential evolution for global optimization.
Appl. Soft Comput., 2011

Differential evolution with improved population reduction.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Adaptive parameter selection for strategy adaptation in differential evolution.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization.
Soft Comput., 2010

A real-coded biogeography-based optimization with mutation.
Appl. Math. Comput., 2010

Hybrid Differential Evolution for Global Numerical Optimization.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

Adaptive strategy selection in differential evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Probability matching-based adaptive strategy selection vs. uniform strategy selection within differential evolution: an empirical comparison on the bbob-2010 noiseless testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
An improved multiobjective differential evolution based on Pareto-adaptive epsilon-dominance and orthogonal design.
Eur. J. Oper. Res., 2009

A Point Symmetry-Based Automatic Clustering Approach Using Differential Evolution.
Proceedings of the Advances in Computation and Intelligence, 4th International Symposium, 2009

Hybrid differential evolution based on fuzzy C-means clustering.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008
Enhancing the performance of differential evolution using orthogonal design method.
Appl. Math. Comput., 2008

An Improved Gene Expression Programming for Fuzzy Classification.
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008

A multiobjective differential evolution algorithm for constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
A Novel Differential Evolution Algorithm Based on <i>epsilon</i> -Domination and Orthogonal Design Method for Multiobjective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

2006
Training RBF Networks with an Extended Kalman Filter Optimized Using Fuzzy Logic.
Proceedings of the Intelligent Information Processing III, 2006

ODE: A Fast and Robust Differential Evolution Based on Orthogonal Design.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

A New Mutation Operator Based on the T Probability Distribution in Evolutionary Programming.
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006


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