Abstract: A new class of crossover operator, simulated crossover, is presented. Simulated crossover treats the population of a genetic algorithm as a conditional variable to a probability density function that predicts the likelihood of generating samples in the problem space. A specific version of simulated crossover, bit-based simulated crossover, is explored. Its ability to perform schema recombination and reproduction is compared analytically against other crossover operators, and its performance is checked on several test problems.
Publication Year: 1993
Publication Date: 1993-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
Access and Citation
Cited By Count: 165
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