Heuristic Recombination

Heuristic Recombination is a computational method in population genetics that belongs to the class of recombination inference techniques, distinguished by its use of empirically derived rules and approximations to efficiently reconstruct ancestral recombination events from genetic sequence data.

25

Publications

1.9K

Citations

47

Authors

34

Institutions

Publications per year

2017–2026

4

Authors

47

  1. DW
    Darrell Whitley

    Colorado State University, United States

    2 publications · 385 citations

    2

    h-index

  2. DF
    D'Ann Fuquay

    2 publications · 605 citations

    2

    h-index

  3. TS
    Timothy Starkweather

    Colorado State University, United States

    2 publications · 605 citations

    2

    h-index

  4. JM
    José M. Troya

    Universidad de Málaga, Spain

    2 publications · 55 citations

    2

    h-index

  5. CC
    Carlos Cotta

    Universidad de Málaga, Spain

    2 publications · 55 citations

    2

    h-index

1–5 of 47

Venues

  1. international conference on Genetic algorithms

    Conference · 4 publications · 860 citations

    4

    h-index

  2. Evolutionary Computation

    3 publications · 191 citations

    3

    h-index

  3. Procedia Computer Science

    1 publications · 29 citations

    1

    h-index

  4. Theoretical Computer Science

    1 publications · 23 citations

    1

    h-index

  5. Applied Mathematics and Computation

    1 publications · 31 citations

    1

    h-index

1–5