Heuristic Crossover
Heuristic Crossover is a type of crossover operator in evolutionary algorithms that generates offspring by applying heuristic rules based on the fitness values of the parent solutions to guide the search toward more promising regions of the solution space.
156
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8.2K
Citations
401
Authors
210
Institutions
Publications per year
2017–2026
46
Parents
156
Behavior of crossover operators in NSGA-III for large-scale optimization problems
Jiao-Hong Yi, Lining Xing, Gai‐Ge Wang et al. · Information Sciences · 2018 · 246 citations
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Universidad de Granada
Granada, Spain
4 h-index
10 publications
1.2K citations

University of Stirling
Stirling, United Kingdom
4 h-index
4 publications
112 citations

University of Nottingham
Nottingham, United Kingdom
3 h-index
6 publications
190 citations

University of Tehran
Tehran, Iran
3 h-index
4 publications
374 citations
Colorado State University
Fort Collins, United States
3 h-index
3 publications
61 citations

Jiangsu Normal University
Xuzhou, China
3 h-index
3 publications
176 citations
Seoul National University
Seoul, South Korea
3 h-index
6 publications
120 citations
Ashikaga University
Ashikaga, Japan
3 h-index
5 publications
210 citations
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5 publications · 364 citations
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5 publications · 108 citations
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3 publications · 153 citations
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3 publications · 153 citations
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3 publications · 469 citations
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