World's Best Scientists 2026 revealed!

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Computer Science

D-Index
45
Citations
6948
World Ranking
7297
National Ranking
967

Overview

Wenyin Gong is affiliated with the China University of Geosciences in China. Their research spans multiple fields, primarily focusing on computer science and engineering. Within these domains, their work is distributed across several subfields including artificial intelligence, computational theory and mathematics, industrial and manufacturing engineering, renewable energy, sustainability and the environment, as well as control and systems engineering.

The main topics of Gong's research contributions include metaheuristic optimization algorithms research, advanced multi-objective optimization algorithms, evolutionary algorithms and applications, scheduling and optimization algorithms, advanced manufacturing and logistics optimization, assembly line balancing optimization, and photovoltaic system optimization techniques.

Gong has published extensively in prominent venues. Frequent publication outlets featuring their research are:

  • Swarm and Evolutionary Computation
  • IEEE Transactions on Evolutionary Computation
  • Expert Systems with Applications
  • Applied Soft Computing
  • IEEE Transactions on Systems Man and Cybernetics Systems

They have collaborated notably with several researchers. Their frequent co-authors include Ling Wang, Fei Ming, Shuijia Li, Chao Lu, and Chengyu Hu.

Selected recent papers by Gong demonstrate their focus areas and publication patterns:

  • A reinforcement learning based RMOEA/D for bi-objective fuzzy flexible job shop scheduling, 2022, Expert Systems with Applications
  • A Learning-Based Memetic Algorithm for Energy-Efficient Flexible Job-Shop Scheduling With Type-2 Fuzzy Processing Time, 2022, IEEE Transactions on Evolutionary Computation
  • A comprehensive survey on meta-heuristic algorithms for parameter extraction of photovoltaic models, 2021, Renewable and Sustainable Energy Reviews
  • Optimal power flow by means of improved adaptive differential evolution, 2020, Energy
  • Reinforcement learning-based differential evolution for parameters extraction of photovoltaic models, 2021, Energy Reports

Best Publications

  • Differential Evolution With Ranking-Based Mutation Operators

    Wenyin Gong;Zhihua Cai

  • DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization

    Wenyin Gong;Zhihua Cai;Charles X. Ling

  • Parameter extraction of solar cell models using repaired adaptive differential evolution

    Wenyin Gong;Zhihua Cai

  • Parameter extraction of photovoltaic models using an improved teaching-learning-based optimization

    Shuijia Li;Wenyin Gong;Xuesong Yan;Chengyu Hu

  • Enhanced Differential Evolution With Adaptive Strategies for Numerical Optimization

    Wenyin Gong;Zhihua Cai;Charles X Ling;Hui Li

  • An enhanced adaptive differential evolution algorithm for parameter extraction of photovoltaic models

    Shuijia Li;Shuijia Li;Qiong Gu;Wenyin Gong;Bin Ning

  • Adaptive Ranking Mutation Operator Based Differential Evolution for Constrained Optimization

    Wenyin Gong;Zhihua Cai;Dingwen Liang

  • A real-coded biogeography-based optimization with mutation

    Wenyin Gong;Zhihua Cai;Charles X. Ling;Hui Li

  • Adaptive strategy selection in differential evolution for numerical optimization: An empirical study

    Wenyin Gong;Álvaro Fialho;Zhihua Cai;Hui Li

  • Parameter estimation of photovoltaic models with memetic adaptive differential evolution

    Shuijia Li;Wenyin Gong;Xuesong Yan;Chengyu Hu

  • A comprehensive survey on meta-heuristic algorithms for parameter extraction of photovoltaic models

    Shuijia Li;Shuijia Li;Wenyin Gong;Qiong Gu

  • A clustering-based differential evolution for global optimization

    Zhihua Cai;Wenyin Gong;Charles X. Ling;Harry Zhang

  • Enhancing the performance of differential evolution using orthogonal design method

    Wenyin Gong;Zhihua Cai;Liangxiao Jiang

  • Optimal power flow by means of improved adaptive differential evolution

    Shuijia Li;Wenyin Gong;Ling Wang;Xuesong Yan

  • A Multioperator Search Strategy Based on Cheap Surrogate Models for Evolutionary Optimization

    Wenyin Gong;Aimin Zhou;Zhihua Cai

  • Reinforcement learning-based differential evolution for parameters extraction of photovoltaic models

    Zhenzhen Hu;Wenyin Gong;Shuijia Li

  • Finding Multiple Roots of Nonlinear Equation Systems via a Repulsion-Based Adaptive Differential Evolution

    Wenyin Gong;Yong Wang;Zhihua Cai;Ling Wang

  • Repairing the crossover rate in adaptive differential evolution

    Wenyin Gong;Zhihua Cai;Yang Wang

  • An efficient multiobjective differential evolution algorithm for engineering design

    Wenyin Gong;Zhihua Cai;Li Zhu

  • A hybrid adaptive teaching–learning-based optimization and differential evolution for parameter identification of photovoltaic models

    Shuijia Li;Wenyin Gong;Ling Wang;Xuesong Yan

  • Engineering optimization by means of an improved constrained differential evolution

    Wenyin Gong;Zhihua Cai;Dingwen Liang

Frequent Co-Authors

Zhihua Cai
Zhihua Cai China University of Geosciences, Wuhan
Ling Wang
Ling Wang Tsinghua University
Liang Gao
Liang Gao Huazhong University of Science and Technology
Charles X. Ling
Charles X. Ling University of Western Ontario
Xinyu Li
Xinyu Li Huazhong University of Science and Technology
Yong Wang
Yong Wang Central South University
Huiling Chen
Huiling Chen Wenzhou University
Liang Gao
Liang Gao Huazhong University of Science and Technology
Gai-Ge Wang
Gai-Ge Wang Ocean University of China
Ali Asghar Heidari
Ali Asghar Heidari National University of Singapore

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