A Particle Swarm Optimization Algorithm with Fully Communicated Information
Shirong Liu · Dianzi xuebao · 2010
A particle swarm optimization algorithm with fully communicated information is proposed.To begin with,an information-shared matrix,which provides a platform of information exchange among particles,is built.Then,normal distribution as a tool is used to synthesize information from the information-shared matrix.A method is used to modify particle position aiming to improve the information-shared level.Lastly,by using the method of position disturbance,the ability of utilizing information is enhanced.The obtained results on the benchmark functions show the effectiveness of the proposed algorithm.