Search Space Representation

Search Space Representation is a formal structure that specifies the set of all possible candidate solutions and their organizational properties within a fitness landscape, distinguishing itself by encoding how potential solutions are mapped, structured, and related in the context of a given optimization problem.

292

Publications

14.3K

Citations

836

Authors

361

Institutions

Publications per year

2017–2026

110

Authors

836

  1. FL
    Feng Liang

    Xi'an Jiaotong University, China

    4 publications · 64 citations

    4

    h-index

  2. QY
    Quanming Yao

    Hong Kong University of Science and Technology, Hong Kong SAR China

    4 publications · 205 citations

    4

    h-index

  3. RP
    Riccardo Poli

    University of Essex, United Kingdom

    3 publications · 182 citations

    3

    h-index

  4. YS
    Yuzhu Sun

    East China University of Science and Technology, China

    3 publications · 75 citations

    3

    h-index

  5. QZ
    Qian Zhang

    Harbin Institute of Technology, China

    3 publications · 75 citations

    3

    h-index

1–5 of 836

Venues

  1. arXiv (Cornell University)

    Repository · 27 publications · 1.6K citations

    18

    h-index

  2. 5

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 107 citations

    4

    h-index

  4. International Joint Conference on Artificial Intelligence

    Conference · 3 publications · 66 citations

    3

    h-index

  5. Evolutionary Computation

    3 publications · 307 citations

    3

    h-index

1–5