World's Best Scientists 2026 revealed!
Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
64
Citations
14486
World Ranking
129
National Ranking
43

Computer Science

D-Index
65
Citations
15506
World Ranking
2474
National Ranking
333

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Gai-Ge Wang is affiliated with the Ocean University of China in China and has contributed extensively to the fields of computer science and engineering. Their research spans several specialized areas, with a primary focus on metaheuristic optimization algorithms and artificial intelligence.

The scientist's work covers numerous significant topics:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Evolutionary Algorithms and Applications
  • Scheduling and Optimization Algorithms
  • Advanced Neural Network Applications
  • Advanced Manufacturing and Logistics Optimization
  • AI in cancer detection

Frequent publication venues for Gai-Ge Wang include:

  • Mathematics
  • Knowledge-Based Systems
  • Information Sciences
  • Expert Systems with Applications
  • Computers in Biology and Medicine

Collaborations have involved several researchers, with the most frequent co-authors being:

  • Yong Wang
  • Junyu Dong
  • Juan Li
  • Dunwei Gong
  • Muwei Jian

Recent published papers highlight a range of research topics and venues:

  • "ConvUNeXt: An efficient convolution neural network for medical image segmentation" (2022), Knowledge-Based Systems
  • "Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism" (2020), IEEE Transactions on Fuzzy Systems
  • "Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm" (2022), IEEE Transactions on Industrial Informatics
  • "A Survey of Learning-Based Intelligent Optimization Algorithms" (2021), Archives of Computational Methods in Engineering
  • "Enhancing MOEA/D with information feedback models for large-scale many-objective optimization" (2020), Information Sciences

The scientist's subfields of study further delineate the focus areas:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Industrial and Manufacturing Engineering
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Best Publications

  • Monarch butterfly optimization

    Gai-Ge Wang;Gai-Ge Wang;Suash Deb;Zhihua Cui

  • Moth search algorithm: a bio-inspired metaheuristic algorithm for global optimization problems

    Gai-Ge Wang;Gai-Ge Wang;Gai-Ge Wang

  • Elephant Herding Optimization

    Gai-Ge Wang;Suash Deb;Leandro dos S. Coelho

  • Chaotic Krill Herd algorithm

    Gai-Ge Wang;Lihong Guo;Amir Hossein Gandomi;Guo-sheng Hao

  • Detection of Malicious Code Variants Based on Deep Learning

    Zhihua Cui;Fei Xue;Xingjuan Cai;Yang Cao

  • A Novel Hybrid Bat Algorithm with Harmony Search for Global Numerical Optimization

    Gaige Wang;Lihong Guo

  • A new metaheuristic optimisation algorithm motivated by elephant herding behaviour

    Gai-Ge Wang;Suash Deb;Xiao-Zhi Gao;Leandro Dos Santos Coelho

  • Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm

    Unknown

  • A novel oriented cuckoo search algorithm to improve DV-Hop performance for cyberphysical systems

    Zhihua Cui;Bin Sun;Gaige Wang;Yu Xue

  • Earthworm optimisation algorithm: a bio-inspired metaheuristic algorithm for global optimisation problems

    Gai Ge Wang;Suash Deb;Leandro Dos Santos Coelho

  • Improving Metaheuristic Algorithms With Information Feedback Models

    Gai-Ge Wang;Ying Tan

  • Hybridizing harmony search algorithm with cuckoo search for global numerical optimization

    Gai-Ge Wang;Amir H. Gandomi;Xiangjun Zhao;Hai Cheng Chu

  • An effective krill herd algorithm with migration operator in biogeography-based optimization

    Gai-Ge Wang;Amir H. Gandomi;Amir H. Alavi

  • Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism

    Da Gao;Gai-Ge Wang;Witold Pedrycz

  • Stud krill herd algorithm

    Gai-Ge Wang;Amir H. Gandomi;Amir H. Alavi

  • Chaotic cuckoo search

    Gai-Ge Wang;Suash Deb;Amir H. Gandomi;Zhaojun Zhang

  • Incorporating mutation scheme into krill herd algorithm for global numerical optimization

    Gaige Wang;Lihong Guo;Heqi Wang;Hong Duan

  • Behavior of crossover operators in NSGA-III for large-scale optimization problems

    Jiao-Hong Yi;Jiao-Hong Yi;Li-Ning Xing;Gai-Ge Wang;Junyu Dong

  • Binary optimization using hybrid particle swarm optimization and gravitational search algorithm

    Seyedali Mirjalili;Gai-Ge Wang;Leandro Dos Coelho

  • A Survey of Learning-Based Intelligent Optimization Algorithms

    Wei Li;Gai-Ge Wang;Amir H. Gandomi

  • High Performance Computing for Cyber Physical Social Systems by Using Evolutionary Multi-Objective Optimization Algorithm

    Gai-Ge Wang;Xingjuan Cai;Zhihua Cui;Geyong Min

  • Three-dimensional path planning for UCAV using an improved bat algorithm

    Gai Ge Wang;Gai Ge Wang;Haicheng Eric Chu;Seyedali Mirjalili

  • Hybrid krill herd algorithm with differential evolution for global numerical optimization

    Gai-Ge Wang;Amir H. Gandomi;Amir H. Alavi;Guo-Sheng Hao

Frequent Co-Authors

Amir H. Alavi
Amir H. Alavi University of Pittsburgh
Amir H. Gandomi
Amir H. Gandomi University of Technology Sydney
Suash Deb
Suash Deb C. V. Raman Global University
Zhihua Cui
Zhihua Cui Taiyuan University of Science and Technology
Junyu Dong
Junyu Dong Ocean University of China
Witold Pedrycz
Witold Pedrycz University of Alberta
Leandro dos Santos Coelho
Leandro dos Santos Coelho Federal University of Paraná
Xiao-Zhi Gao
Xiao-Zhi Gao University of Eastern Finland
Jinjun Chen
Jinjun Chen Swinburne University of Technology
Wei-Chang Yeh
Wei-Chang Yeh National Tsing Hua University

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 Computer Science in the USA opens doors to various related online degrees and flexible career options. Many students get started with an online associate degree, which can be completed quickly and offers a strong technology foundation.

For those interested in the business side of tech, online business schools provide affordable programs tailored to the digital economy. These pathways blend technology and management skills, preparing graduates for leadership roles.

Budget-conscious students can earn a respected diploma from a cheapest online college bachelor degree program. Many accredited colleges offer flexible online options, making higher education accessible without a hefty price tag.

Tech enthusiasts may also wonder, can you get an engineering degree online? The answer is yes. Online engineering degrees are available and often include hands-on labs or internships, supporting diverse engineering career pathways.

Choosing the right online degree can significantly impact career prospects, cost, and study flexibility. Explore these pathways to find the best fit for your professional goals in the evolving tech landscape.

Best Scientists Citing Gai-Ge Wang

Trending Scientists

Recently Published Articles