Heuristic Crossover

Heuristic Crossover is a type of crossover operator in evolutionary algorithms that generates offspring by applying heuristic rules based on the fitness values of the parent solutions to guide the search toward more promising regions of the solution space.

156

Publications

8.2K

Citations

401

Authors

210

Institutions

Publications per year

2017–2026

46

Authors

401

  1. ML
    Manuel Lozano

    Universidad de Granada, Spain

    4 publications · 582 citations

    4

    h-index

  2. MG
    Mitsuo Gen

    Ashikaga University, Japan

    4 publications · 298 citations

    4

    h-index

  3. FH
    Francisco Herrera

    Universidad de Granada, Spain

    4 publications · 582 citations

    4

    h-index

  4. GW
    Gai‐Ge Wang

    Ocean University of China, China

    3 publications · 401 citations

    3

    h-index

  5. RT
    Renato Tinós

    Universidade de São Paulo, Brazil

    3 publications · 61 citations

    3

    h-index

1–5 of 401

Venues

  1. Expert Systems with Applications

    5 publications · 364 citations

    5

    h-index

  2. IEEE Access

    5 publications · 108 citations

    5

    h-index

  3. Soft Computing

    3 publications · 153 citations

    3

    h-index

  4. Evolutionary Computation

    3 publications · 153 citations

    3

    h-index

  5. International Journal of Intelligent Systems

    3 publications · 469 citations

    3

    h-index

1–5