World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
11412
World Ranking
4577
National Ranking
612

Overview

Dunwei Gong is affiliated with the Qingdao University of Science and Technology in China. Their research primarily focuses on the fields of Computer Science and Engineering, with significant contributions in various subfields, including Artificial Intelligence, Electrical and Electronic Engineering, Computational Theory and Mathematics, Control and Systems Engineering, and Software.

The scientist's work covers a range of main topics, reflecting a deep engagement with metaheuristic optimization algorithms, advanced multi-objective optimization algorithms, and evolutionary algorithms and their applications. Additional research interests include software testing and debugging techniques, software reliability and analysis, software engineering research, and integrated energy systems optimization.

Notable recent publications by Dunwei Gong include:

  • "A Fast Hybrid Feature Selection Based on Correlation-Guided Clustering and Particle Swarm Optimization for High-Dimensional Data" (2021), published in IEEE Transactions on Cybernetics
  • "Multiobjective Particle Swarm Optimization for Feature Selection With Fuzzy Cost" (2020), published in IEEE Transactions on Cybernetics
  • "Feature selection using bare-bones particle swarm optimization with mutual information" (2020), published in Pattern Recognition
  • "A review of surrogate-assisted evolutionary algorithms for expensive optimization problems" (2023), published in Expert Systems with Applications
  • "A Hybrid Iterated Greedy Algorithm for a Crane Transportation Flexible Job Shop Problem" (2021), published in IEEE Transactions on Automation Science and Engineering

Dunwei Gong frequently collaborates with a number of co-authors. Key collaborators include Zhang Yon, Xiangjuan Yao, Xiaoyan Sun, and Yinan Guo.

The scientist's work has appeared in several respected publication venues. Frequent outlets include:

  • IEEE Transactions on Evolutionary Computation
  • SSRN Electronic Journal
  • Applied Energy
  • Information Sciences
  • Swarm and Evolutionary Computation

Best Publications

  • Robot path planning in uncertain environment using multi-objective particle swarm optimization

    Yong Zhang;Dun-Wei Gong;Jian-Hua Zhang

  • Binary differential evolution with self-learning for multi-objective feature selection

    Yong Zhang;Dun-wei Gong;Xiao-zhi Gao;Tian Tian

  • Multi-Objective Particle Swarm Optimization Approach for Cost-Based Feature Selection in Classification

    Yong Zhang;Dun-wei Gong;Jian Cheng

  • A bare-bones multi-objective particle swarm optimization algorithm for environmental/economic dispatch

    Yong Zhang;Dun-Wei Gong;Zhonghai Ding

  • A Fast Hybrid Feature Selection Based on Correlation-Guided Clustering and Particle Swarm Optimization for High-Dimensional Data

    Xian-Fang Song;Yong Zhang;Dun-Wei Gong;Xiao-Zhi Gao

  • A Multimodal Multiobjective Evolutionary Algorithm Using Two-Archive and Recombination Strategies

    Yiping Liu;Gary G. Yen;Dunwei Gong

  • Feature selection algorithm based on bare bones particle swarm optimization

    Yong Zhang;Dunwei Gong;Ying Hu;Wanqiu Zhang

  • A Many-Objective Evolutionary Algorithm Using A One-by-One Selection Strategy

    Yiping Liu;Dunwei Gong;Jing Sun;Yaochu Jin

  • Feature selection using bare-bones particle swarm optimization with mutual information

    Xian-fang Song;Yong Zhang;Dun-wei Gong;Dun-wei Gong;Xiao-yan Sun

  • A Set-Based Genetic Algorithm for Interval Many-Objective Optimization Problems

    Dunwei Gong;Jing Sun;Zhuang Miao

  • Multiobjective Particle Swarm Optimization for Feature Selection With Fuzzy Cost

    Ying Hu;Yong Zhang;Dunwei Gong

  • A return-cost-based binary firefly algorithm for feature selection

    Yong Zhang;Xian-fang Song;Dun-wei Gong;Dun-wei Gong

  • Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems

    Miao Rong;Dunwei Gong;Yong Zhang;Yaochu Jin

  • Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns

    Yuyan Han;Dunwei Gong;Yaochu Jin;Quanke Pan

  • A PSO-based multi-objective multi-label feature selection method in classification

    Yong Zhang;Dun-wei Gong;Xiao-yan Sun;Yi-nan Guo

  • Cost-sensitive feature selection using two-archive multi-objective artificial bee colony algorithm

    Yong Zhang;Shi Cheng;Yuhui Shi;Dun-wei Gong

  • A novel hybrid multi-objective artificial bee colony algorithm for blocking lot-streaming flow shop scheduling problems

    Unknown

  • A Similarity-Based Cooperative Co-Evolutionary Algorithm for Dynamic Interval Multiobjective Optimization Problems

    Dunwei Gong;Biao Xu;Yong Zhang;Yinan Guo

  • A comprehensive review of krill herd algorithm: variants, hybrids and applications

    Gai Ge Wang;Amirhossein Gandomi;Amirhossein Gandomi;Amir H. Alavi;Dunwei Gong

  • Robust Dynamic Multi-Objective Vehicle Routing Optimization Method

    Yi-Nan Guo;Jian Cheng;Sha Luo;Dunwei Gong

  • Multi-directional Prediction Approach for Dynamic Multi-objective Optimization Problems

    Miao Rong;Dunwei Gong;Yong Zhang;Yaochu Jin

Frequent Co-Authors

Jing Sun
Jing Sun University of Michigan–Ann Arbor
Shengxiang Yang
Shengxiang Yang De Montfort University
Yaochu Jin
Yaochu Jin Westlake University
Ling Wang
Ling Wang Tsinghua University
Junqing Li
Junqing Li Liaocheng University
Xiao-Zhi Gao
Xiao-Zhi Gao University of Eastern Finland
Qiuzhen Lin
Qiuzhen Lin Shenzhen University
Shi Cheng
Shi Cheng Shaanxi Normal University
Gary G. Yen
Gary G. Yen Oklahoma State University
Witold Pedrycz
Witold Pedrycz University of Alberta

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring a computer science degree online opens up flexible and accessible opportunities for students who want to balance their studies with other commitments. These programs often provide accelerated options and updated curricula reflecting current industry needs, making them ideal for both beginners and working professionals.

Many STEM fields closely align with computer science, offering diverse career pathways. For example, pursuing an environmental engineering degree equips graduates to tackle critical environmental challenges using technology. Meanwhile, students seeking cost-effective technical credentials can consider the cheapest mechanical engineering degree online, which can lead to roles in manufacturing, robotics, and product design.

For those interested in scientific discovery and problem-solving, earning an online physics degree is a valuable option. All these online programs share a commitment to convenience, affordability, and strong career outcomes in fast-growing STEM sectors.

Best Scientists Citing Dunwei Gong

Trending Scientists

Recently Published Articles