PeopleofSuperintelligence

Researcher

Gai‐Ge Wang

Also known as Gai-Ge Wang, Gaige Wang, 王改革

Gai‐Ge Wang is a computer science professor at Ocean University of China who develops bio-inspired metaheuristic algorithms in swarm intelligence and evolutionary computation. After earning a master's degree in intelligent planning at Northeast Normal University, he began a doctorate in computational intelligence at the Changchun Institute of Optics, Fine Mechanics and Physics in 2010 and published a mutated bat algorithm for uninhabited combat air vehicle path planning in 2012. From November 2015, he worked as a visiting scholar at the University of Alberta with Witold Pedrycz and proposed monarch butterfly optimization, the earthworm optimization algorithm and elephant herding optimization. Clarivate named him a Highly Cited Researcher in 2021 and 2022, and he coauthored the 2024 book Metaheuristic Algorithms: Theory and Practice with Xiaoqi Zhao and Keqin Li.

Timeline

  1. 2010

    Doctorate in computational intelligence

    After earning a master's degree in intelligent planning and planning recognition at Northeast Normal University in Changchun, he begins a doctorate in computational intelligence and its applications in 2010 at the Changchun Institute of Optics, Fine Mechanics and Physics of the Chinese Academy of Sciences.

  2. 2012

    Bat algorithm for flight paths

    In 2012, he publishes "A Bat Algorithm with Mutation for UCAV Path Planning" in The Scientific World Journal. The paper proposes a bat algorithm with mutation that modifies solutions between bats to plan routes for uninhabited combat air vehicles.

  3. November 2015

    Visiting scholar at Alberta

    From November 2015, he works as a visiting scholar at the University of Alberta in Canada, guided by Witold Pedrycz. He also proposes three bio-inspired metaheuristic algorithms: monarch butterfly optimization, the earthworm optimization algorithm and elephant herding optimization.

  4. November 2019

    Monarch butterfly optimization for knapsack problems

    With Yanhong Feng and Xu Yu, he coauthors "A Novel Monarch Butterfly Optimization with Global Position Updating Operator for Large-Scale 0-1 Knapsack Problems" in Mathematics in November 2019.

  5. 2020–2023

    Highly Cited Researcher selections

    Clarivate selects him as one of its Highly Cited Researchers in 2021 and 2022. Elsevier also names him among its Highly Cited Chinese Researchers in computer science for 2020 to 2023.

  6. 2022

    Two metaheuristic surveys in Mathematics

    In August 2022, he coauthors "Survey of Lévy Flight-Based Metaheuristics for Optimization" in Mathematics with Juan Li, Qing An, Hong Lei and Qian Deng. In November 2022, he coauthors "Moth Search: Variants, Hybrids, and Applications" in Mathematics on moth search, a metaheuristic optimization algorithm based on Lévy flights and phototaxis.

  7. 2024

    Book on metaheuristic algorithms

    CRC Press publishes his book Metaheuristic Algorithms: Theory and Practice in 2024, coauthored with Xiaoqi Zhao and Keqin Li.

  8. As of October 2026

    Professor at Ocean University of China

    He is a professor in the School of Computer Science and Technology at Ocean University of China in Qingdao, where he coauthors a computational intelligence study in 2026. His research interests include swarm intelligence, evolutionary computation and big data optimization.

Career

  1. NowOcean University of ChinaProfessor
  2. From 2015University of AlbertaVisiting Scholar

Education

  1. From 2010Chinese Academy of SciencesPhD
  2. Northeast Normal UniversityMaster's degree

From the biography.

  1. The median h-index is 48 at universities and 14 at frontier AI labsIncludes University of Alberta. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  2. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes University of Alberta. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  3. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes University of Alberta. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  4. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes University of Alberta. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Gai‐Ge Wang yet. Send us a free-licensed photo.

  1. International Journal of Computer Information Systems and Industrial Management Applications - IJCISIM - Homepage mirlabs.org. Checked 22 October 2026.
  2. A Bat Algorithm with Mutation for UCAV Path Planning - PMC ncbi.nlm.nih.gov. Checked 22 October 2026.
  3. A Novel Monarch Butterfly Optimization with Global Position Updating Operator for Large-Scale 0-1 Knapsack Problems ideas.repec.org. Checked 22 October 2026.
  4. Light: Advanced Manufacturing light-am.com. Checked 22 October 2026.
  5. Survey of Lévy Flight-Based Metaheuristics for Optimization ideas.repec.org. Checked 22 October 2026.
  6. Moth Search: Variants, Hybrids, and Applications ideas.repec.org. Checked 22 October 2026.
  7. Metaheuristic Algorithms: Theory and Practice - 1st Edition - Gai-Ge W routledge.com. Checked 22 October 2026.
  8. Computational intelligence using nailfold videocapillaroscopy for the prediction of carotid intima-media thickness in rheumatoid arthritis: a cohort-based study - PMC ncbi.nlm.nih.gov. Checked 22 October 2026.