A New Method for Tuning Mutation and Crossover Rate in Genetic Algorithm
Giti Javadi, Ehsan Aminian · 2017
In this paper, an innovative way to solve the Travelling Salesman Problem is proposed. This method is based on Genetic Algorithms (GA) tuned with a fuzzy controller. A fuzzy controller is used to determine the rate of two main operators of GA. In other words, crossover and mutation rates in reproduction processes are determined by the mentioned fuzzy controller. The effectiveness of our method is demonstrated by comparing of our results with other methods.