How crossover helps in pseudo-boolean optimization

Timo Kötzing, Dirk Sudholt, Madeleine Theile · 2011

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.

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