Behavior of Crossover Operators in NSGA-III for Large-Scale Optimization Problems

Information Sciences(2020)

引用 158|浏览53
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摘要
•The performance of three crossover operators of NSGA-III algorithm on big data optimization problems are investigated.•By introducing the concept of Stud, several improved crossover operators of SBX, UC, and SI have been designed.•Ten variants of NSGA-III algorithms are proposed.•The performance of ten NSGA-III variants are further verified on big data optimization problems.
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关键词
Electroencephalography,Large-scale optimization,Big data optimization,Evolutionary multi-objective optimization,NSGA-III,Crossover operator,Performance analysis
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