Title: How crossover helps in pseudo-boolean optimization
Abstract: Understanding the impact of crossover on performance is a major problem in the theory of genetic algorithms (GAs). We present new insight on working principles of crossover by analyzing the performance of crossover-based GAs on the simple functions OneMax and Jump.
Publication Year: 2011
Publication Date: 2011-07-12
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 88
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