Self-adaptive Crossover
Self-Adaptive Crossover is a crossover operator in evolutionary computation that belongs to the class of adaptive genetic operators and is distinguished by its mechanism of dynamically adjusting crossover parameters through the evolutionary process itself, thereby enabling the inheritance and optimization of parameter settings alongside the solution genotypes.
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Real-Coded Memetic Algorithms with Crossover Hill-Climbing
Manuel Lozano, Francisco Herrera, Natalio Krasnogor et al. · Evolutionary Computation · 2004 · 324 citations
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Indian Institute of Technology Kanpur
Kanpur, India
3 h-index
5 publications
2.1K citations

UNSW Sydney
Sydney, Australia
3 h-index
5 publications
476 citations
TU Dortmund University
Dortmund, Germany
2 h-index
2 publications
353 citations
University of Canberra
Canberra, Australia
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3 publications
454 citations
Nanjing Normal University
Nanjing, China
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4 publications
96 citations
China University of Geosciences
Wuhan, China
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5 publications
70 citations

Centre National de la Recherche Scientifique
Paris, France
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1 publications
12 citations

Beijing University of Posts and Telecommunications
Beijing, China
1 h-index
1 publications
52 citations
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