PARTICLE SWARM OPTIMIZATION BASED ON PYRAMID MODEL FOR SATELLITE MODULE LAYOUT

摘要

＜正＞To improve the global search ability of particle swarm optimization （PSO）,a multi-population PSO based on pyramid model （PPSO） is presented.Then,it is applied to solve the layout optimization problems against the background of an international commercial communication satellite （INTELSAT-Ⅲ） module.Three improvements are developed,including multi-population search based on pyramid model,adaptive collision avoidance among particles,and mutation of degraded particles.In the numerical examples of the layout design of this simplified satellite module,the performance of PPSO is compared to global version PSO and local version PSO （ring and Neumann PSO）.The results show that PPSO has higher computational accuracy,efficiency and success ratio.