Representation In Evolutionary Algorithms

Representation in Evolutionary Algorithms is a foundational component in evolutionary computation that specifies the encoding scheme by which problem solutions are translated into chromosomal structures amenable to genetic operators, thereby determining the search space’s geometry and influencing algorithmic behavior.

436

Publications

24.9K

Citations

868

Authors

419

Institutions

Publications per year

2017–2026

43

Authors

868

  1. DA
    Daniel Ashlock

    University of Guelph, Canada

    8 publications · 189 citations

    8

    h-index

  2. FR
    Franz Rothlauf

    Johannes Gutenberg University Mainz, Germany

    5 publications · 306 citations

    5

    h-index

  3. RP
    Riccardo Poli

    University of Essex, United Kingdom

    5 publications · 260 citations

    5

    h-index

  4. BA
    Bryant A. Julstrom

    St. Cloud State University, United States

    5 publications · 448 citations

    5

    h-index

  5. DE
    David E. Goldberg

    University of Illinois Urbana-Champaign, United States

    5 publications · 289 citations

    5

    h-index

1–5 of 868

Venues

  1. Evolutionary Computation

    31 publications · 2.2K citations

    26

    h-index

  2. IEEE Transactions on Evolutionary Computation

    19 publications · 2.9K citations

    16

    h-index

  3. Expert Systems with Applications

    7 publications · 303 citations

    7

    h-index

  4. Genetic Programming and Evolvable Machines

    6 publications · 571 citations

    6

    h-index

  5. international conference on Genetic algorithms

    Conference · 5 publications · 1.5K citations

    5

    h-index

1–5