Self-adaptive Crossover

Self-Adaptive Crossover is a crossover operator in evolutionary computation that belongs to the class of adaptive genetic operators and is distinguished by its mechanism of dynamically adjusting crossover parameters through the evolutionary process itself, thereby enabling the inheritance and optimization of parameter settings alongside the solution genotypes.

42

Publications

3.5K

Citations

109

Authors

64

Institutions

Publications per year

2017–2026

8

Authors

109

  1. KD
    Kalyanmoy Deb

    Michigan State University, United States

    3 publications · 1.2K citations

    3

    h-index

  2. ZC
    Zixing Cai

    Central South University, China

    2 publications · 51 citations

    2

    h-index

  3. YW
    Yong Wang

    Central South University, China

    2 publications · 51 citations

    2

    h-index

  4. SC
    Shuyan Chen

    Southeast University, China

    2 publications · 48 citations

    2

    h-index

  5. ZQ
    Zhu Qingbao

    Nanjing Normal University, China

    2 publications · 48 citations

    2

    h-index

1–5 of 109

Venues

  1. Evolutionary Computation

    3 publications · 970 citations

    3

    h-index

  2. Procedia Earth and Planetary Science

    1 publications · 13 citations

    1

    h-index

  3. IEEE Transactions on Evolutionary Computation

    1 publications · 258 citations

    1

    h-index

  4. Computers & Operations Research

    1 publications · 42 citations

    1

    h-index

  5. International Journal of Advanced Robotic Systems

    ARS · 1 publications · 17 citations

    1

    h-index

1–5