Particle Swarm Optimization Containing Plural Swarms Using Shared Velocity
Masaki Sugimoto, Haruna Matsushita, Yoshifumi Nishio · 2011
Particle Swarm Optimization (PSO) is a popular optimization technique for solving objective functions and an algorithm to simulate the movement of flocks of birds toward foods. In this study, we propose an improved PSO algorithm; PSO contain-ing shared velocity using plural swarms (PPSOV). Each parti-cle of PPSOV belongs to one of plural swarms. Each particle belonging to each swarm shares a velocity with other parti-cles in same swarm. We evaluate the performance of PPSOV by using four optimization functions and confirm that PPSOV obtain the best results among four PSOs. 1.