Genetic Balance Optimization

Genetic Balance Optimization is a matching method that achieves covariate balance by iteratively refining treatment and control group assignments through principles inspired by natural selection and genetic algorithms.

4

Publications

136

Citations

18

Authors

9

Institutions

Publications per year

2017–2026

2

Authors

18

  1. EV
    E. V. Ananiev

    Institute of Molecular Genetics, Russia

    1 publications · 22 citations

    1

    h-index

  2. GD
    Geert De Meyer

    Ghent University, Belgium

    1 publications · 74 citations

    1

    h-index

  3. JW
    Junping Wang

    Army Medical University, China

    1 publications · 25 citations

    1

    h-index

  4. LZ
    L. Z. Faizullin

    Kurchatov Institute, Russia

    1 publications · 22 citations

    1

    h-index

  5. JW
    John W. Forster

    La Trobe University, Australia

    1 publications · 25 citations

    1

    h-index

1–5 of 18

Venues

  1. Energy Procedia

    1 publications · 15 citations

    1

    h-index

  2. Crop Science

    1 publications · 25 citations

    1

    h-index

  3. Genetics

    1 publications · 74 citations

    1

    h-index

  4. Chromosoma

    1 publications · 22 citations

    1

    h-index

1–4