Mixed Fruit Fly Optimization Algorithm Based on Chaotic Mapping
Chengzhong Liu · Jisuanji gongcheng · 2013
In the optimization process of the fruit fly algorithm,the convergence accuracy is unstable because of the initial value choosing suitable or not.In order to solve this problem,this paper proposes a new mixed fruit fly algorithm.The Logistic mapping is integrated into the fruit fly algorithm to do global search for the optimal parameter.It uses the value as the center to do tiny fluctuations to obtain initial value of quadratic optimization,and improve the initial value selection method of fruit fly algorithm.In the function optimization simulation process,compared with the original fruit fly algorithm and Particle Swarm Optimization(PSO) algorithm etc.,the convergence accuracy of this mixed fruit fly algorithm has obvious advantages.