Multi-Point Crossover is a population recombination operator in evolutionary algorithms that belongs to the class of crossover methods and is distinguished by exchanging genetic material between two parent chromosomes at multiple predetermined breakpoints to produce offspring.
39
Publications
2.3K
Citations
85
Authors
49
Institutions
Publications per year
2017–2026
9
Variants
Multi-point Crossover Operator
Publications
39
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
1–5 of 39
Authors
85
- EH
2
h-index
- CK
2
h-index
- MK
2
h-index
- BD
2
h-index
- EB
1
h-index
1–5 of 85
Institutions
49
Quaid-i-Azam University
Islamabad, Pakistan
2 h-index
5 publications
95 citations
George Mason University
Fairfax, United States
2 h-index
2 publications
307 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
2 h-index
6 publications
537 citations
Technological Institute of the Philippines
Manila, Philippines
1 h-index
1 publications
17 citations
Harbin University of Commerce
Harbin, China
1 h-index
1 publications
44 citations
Southeast University
Nanjing, China
1 h-index
2 publications
72 citations
Emilio Aguinaldo College
Manila, Philippines
1 h-index
2 publications
34 citations
Wuhan University
Wuhan, China
1 h-index
2 publications
22 citations
1–8 of 49
Venues
- international conference on Genetic algorithms
Conference · 2 publications · 168 citations
2
h-index
- Annals of Mathematics and Artificial Intelligence
2 publications · 327 citations
2
h-index
- Evolutionary Intelligence
1 publications · 22 citations
1
h-index
- Soft Computing
1 publications · 11 citations
1
h-index
- IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
1 publications · 12 citations
1
h-index
1–5