Wavelet packets and genetic algorithms
نویسندگان
چکیده
This paper is devoted to the theoretical analysis of the tness function in genetic algorithms using wavelet packet (WP) transforms. More speci cally, WP transforms are used to calculate the average tness value of a schema. Based on this one can decide whether a certain function is easy or hard for a genetic algorithm. The result is an extension of Bethke's work who discovered an e cient method for calculating schema average tness values using the Walsh transform.
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