Fitness Function Engineering is the systematic design and development of fitness functions as formal computational constructs that guide evolutionary algorithms by quantitatively evaluating candidate solutions according to problem-specific objectives and constraints.
513
Publications
17.8K
Citations
1.5K
Authors
632
Institutions
Publications per year
2017–2026
170
Parents
Publications
513
How many hidden layers and nodes?
Demetris Stathakis · International Journal of Remote Sensing · 2009 · 441 citations
An experiment in automatic game design
Julian Togelius, Jürgen Schmidhuber · 2008 · 245 citations
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- DR
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- DA
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- VK
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- TH
4
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- JT
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1–5 of 1.5K
Institutions
632
University of Guelph
Guelph, Canada
9 h-index
19 publications
1K citations
National Institute of Technology Goa
Ponda, India
8 h-index
25 publications
1.2K citations
Chinese Academy of Sciences
Beijing, China
8 h-index
18 publications
497 citations
Harbin Institute of Technology
Harbin, China
7 h-index
22 publications
756 citations
University of Essex
Colchester, United Kingdom
5 h-index
11 publications
252 citations
Thapar Institute of Engineering & Technology
Patiāla, India
5 h-index
7 publications
332 citations
National University of Kaohsiung
Kaohsiung City, Taiwan
5 h-index
8 publications
217 citations
Wuhan University
Wuhan, China
5 h-index
12 publications
395 citations
1–8 of 632
Venues
- IEEE Access
10 publications · 495 citations
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- Soft Computing
8 publications · 1.4K citations
8
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- Applied Soft Computing
5 publications · 270 citations
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- International Journal of Computer Applications
4 publications · 78 citations
4
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- Expert Systems with Applications
4 publications · 85 citations
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