Modified immune particle swarm optimization algorithm and its application

Abstract

In this paper,a modified Particle Swarm Optimization(PSO) algorithm with immunity was proposed.The intersection operation and high frequency mutation were introduced to keep the population's diversity and avoid early ripe of PSO.The algorithm's global searching ability was improved through Cauchy mutation,and local searching ability was improved by Gaussian mutation.In addition,the vaccine operation was introduced to solve the potential degradation caused by the probability distributed intersection and mutation.The simulation results show that the evolution speed and convergence precision of proposed algorithm are improved.