Fitness Function Design

Fitness Function Design is the systematic process of constructing an objective metric within evolutionary algorithms that quantitatively evaluates candidate solutions according to problem-specific criteria to guide the search toward optimal or satisfactory outcomes.

350

Publications

16.2K

Citations

994

Authors

458

Institutions

Publications per year

2017–2026

110

Authors

994

  1. JT
    Julian Togelius

    New York University, United States

    7 publications · 419 citations

    7

    h-index

  2. DR
    Damodar Reddy Edla

    National Institute of Technology Goa, India

    5 publications · 238 citations

    5

    h-index

  3. DA
    Daniel Ashlock

    University of Guelph, Canada

    5 publications · 178 citations

    5

    h-index

  4. XY
    Xin Yao

    University of Birmingham, United Kingdom

    4 publications · 162 citations

    4

    h-index

  5. VK
    Venkatanareshbabu Kuppili

    National Institute of Technology Goa, India

    4 publications · 200 citations

    4

    h-index

1–5 of 994

Venues

  1. Soft Computing

    7 publications · 1.5K citations

    7

    h-index

  2. Applied Soft Computing

    7 publications · 532 citations

    7

    h-index

  3. Expert Systems with Applications

    7 publications · 319 citations

    7

    h-index

  4. IEEE Transactions on Evolutionary Computation

    6 publications · 301 citations

    6

    h-index

  5. 4

    h-index

1–5