Notice of Retraction: A Self-Adaptive Genetic Algorithm Based on Real-Coded

Abstract

The self-adaptive genetic algorithm, its main thought is to let control parameter (population, hybridization rate and mutation rate) adjusted adaptively within the proper range find the best parameter of the corresponding problem, thus received optimum which has stronger adaptability. It is proved that the self-adaptive genetic algorithm is with excellent convergence and higher precision than the traditional genetic algorithm through the comparison by optimizing four experimental functions.