Permutation Crossover

Permutation Crossover is a genetic operator in evolutionary computation that belongs to the class of crossover methods designed for permutation-based representations, distinguished by its preservation of valid orderings and adjacency information when recombining parent solutions to generate offspring.

20

Publications

1.8K

Citations

47

Authors

19

Institutions

Publications per year

2017–2026

4

Authors

47

  1. AM
    Alberto Moraglio

    University of Essex, United Kingdom

    2 publications · 85 citations

    2

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  2. SY
    Sergiy Yakovlev

    National Aerospace University – Kharkiv Aviation Institute, Ukraine

    2 publications · 22 citations

    2

    h-index

  3. PV
    P. Victer Paul

    Sri Manakula Vinayagar Medical College and Hospital, India

    2 publications · 112 citations

    2

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  4. KC
    Kay C. Wiese

    Simon Fraser University, Canada

    2 publications · 86 citations

    2

    h-index

  5. WB
    William B. Langdon

    University College London, United Kingdom

    2 publications · 253 citations

    2

    h-index

1–5 of 47

Venues

  1. Applied Soft Computing

    1 publications · 65 citations

    1

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  2. IEEE Transactions on Evolutionary Computation

    1 publications · 40 citations

    1

    h-index

  3. 1

    h-index

  4. Evolutionary Computation

    1 publications · 49 citations

    1

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  5. Journal of Computational Science

    1 publications · 47 citations

    1

    h-index

1–5