A Branching Process Model for Genetic Algorithms

A new stochastic analysis of schema processing in genetic algorithms is presented in this paper. We have developed a branching process model for the haploid, binary, fixed-length genetic algorithm with fitness-proportionate selection, single-point crossover and bitwise mutation. We provide empirical evidence on a ten-problem test suite.

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