Wenyin Gong
Orcid: 0000-0003-1610-6865
According to our database1,
Wenyin Gong
authored at least 156 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
IEEE Trans. Evol. Comput., December, 2024
Double DQN-Based Coevolution for Green Distributed Heterogeneous Hybrid Flowshop Scheduling With Multiple Priorities of Jobs.
IEEE Trans Autom. Sci. Eng., October, 2024
Neural Comput. Appl., August, 2024
Learning-Driven Dynamic Multimodal Optimization Algorithm for Real-Time Traceability of Water Pollution.
IEEE Trans. Artif. Intell., June, 2024
A Competitive and Cooperative Evolutionary Framework for Ensemble of Constraint Handling Techniques.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024
Inf. Sci., March, 2024
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024
IEEE Trans. Evol. Comput., February, 2024
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
Swarm Evol. Comput., 2024
Constrained multi-objective optimization with dual-swarm assisted competitive swarm optimizer.
Swarm Evol. Comput., 2024
Growing Neural Gas Network-based surrogate-assisted Pareto set learning for multimodal multi-objective optimization.
Swarm Evol. Comput., 2024
A Q-learning memetic algorithm for energy-efficient heterogeneous distributed assembly permutation flowshop scheduling considering priorities.
Swarm Evol. Comput., 2024
Deep and wide search assisted evolutionary algorithm with reference vector guidance for many-objective optimization.
Swarm Evol. Comput., 2024
Bi-directional search based on constraint relaxation for constrained multi-objective optimization problems with large infeasible regions.
Expert Syst. Appl., 2024
A dynamic decision-driven memetic algorithm for fuzzy distributed hybrid flow shop rescheduling considering quality control.
Expert Syst. Appl., 2024
Constrained multi-objective optimization evolutionary algorithm for real-world continuous mechanical design problems.
Eng. Appl. Artif. Intell., 2024
Evolutionary computation and reinforcement learning integrated algorithm for distributed heterogeneous flowshop scheduling.
Eng. Appl. Artif. Intell., 2024
An enhanced memetic algorithm with hierarchical heuristic neighborhood search for type-2 green fuzzy flexible job shop scheduling.
Eng. Appl. Artif. Intell., 2024
Two-Stage Adaptive Memetic Algorithm with Surprisingly Popular Mechanism for Energy-Aware Distributed Hybrid Flow Shop Scheduling Problem with Sequence-Dependent Setup Time.
Complex Syst. Model. Simul., 2024
Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection.
CoRR, 2024
Deep reinforcement learning-based memetic algorithm for energy-aware flexible job shop scheduling with multi-AGV.
Comput. Ind. Eng., 2024
Appl. Soft Comput., 2024
YOLO-PDNet: Small Target Recognition Improvement for Remote Sensing Image Based on YOLOv8.
Proceedings of the International Joint Conference on Neural Networks, 2024
Transfer Search Directions Among Decomposed Subtasks for Evolutionary Multitasking in Multiobjective Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 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. 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
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
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
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
Load Optimization Scheduling of Chip Mounter Based on Hybrid Adaptive Optimization Algorithm.
Complex Syst. Model. Simul., 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
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
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
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
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
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
Complex Syst. Model. Simul., 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
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
Int. J. Comput. Sci. Eng., 2020
Expert Syst. Appl., 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Neural Comput. Appl., 2019
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
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
Comput. Informatics, 2018
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
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
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
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
Appl. Soft Comput., 2014
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
IEEE Trans. Cybern., 2013
Cogn. Comput., 2013
2012
Adaptive Parameter Selection for Strategy Adaptation in Differential Evolution for Continuous Optimization.
J. Comput., 2012
Proceedings of the Eighth International Conference on Natural Computation, 2012
2011
IEEE Trans. Syst. Man Cybern. Part B, 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
Appl. Soft Comput., 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
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
Appl. Math. Comput., 2010
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010
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
Proceedings of the Advances in Computation and Intelligence, 4th International Symposium, 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
2008
Appl. Math. Comput., 2008
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008
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
Proceedings of the Intelligent Information Processing III, 2006
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