Fitness Assignment

Fitness Assignment is a procedural mechanism in evolutionary optimization that belongs to the class of evaluation functions and is differentiated by its role in quantifying the relative quality of candidate solutions according to a specific objective or set of objectives to guide the evolutionary search process.

80

Publications

8.7K

Citations

191

Authors

93

Institutions

Publications per year

2017–2026

16

Authors

191

  1. GG
    Gary G. Yen

    Oklahoma State University, United States

    5 publications · 570 citations

    5

    h-index

  2. SY
    Shiyou Yang

    Zhejiang University, China

    4 publications · 322 citations

    4

    h-index

  3. SL
    S. L. Ho

    Hong Kong Polytechnic University, Hong Kong SAR China

    4 publications · 322 citations

    4

    h-index

  4. XY
    Xin Yao

    University of Birmingham, United Kingdom

    4 publications · 254 citations

    4

    h-index

  5. CM
    Carlos M. Fonseca

    University of Algarve, Portugal

    4 publications · 3.6K citations

    4

    h-index

1–5 of 191

Venues

  1. IEEE Transactions on Evolutionary Computation

    7 publications · 1.7K citations

    7

    h-index

  2. IEEE Transactions on Magnetics

    4 publications · 322 citations

    4

    h-index

  3. IEEE Transactions on Cybernetics

    3 publications · 485 citations

    3

    h-index

  4. 2

    h-index

  5. Evolution

    2 publications · 100 citations

    2

    h-index

1–5