An Application of Radial Basis Function Network and Genetic Algorithm to Fashion Design System

In this paper, a genetic algorithm as well as a radial basis network has applied to solve the design problem of human fatigue. The hybrid method of neural network and genetic algorithm has been employed. The selected individuals from Genetic Algorithm are optimized and considered as value of nodes in the radial basis function networks neural network. The parameters of radial basis function network are optimized by K-Means combined with the value of similar distance. The fitness cost function of the genetic algorithm is approximated by artificial neural network. The performance of the method in fashion design verifies the effects of this method.