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Zhang Bao
Key Laboratory for Precision and Non-
traditional Machining Technology of
Ministry of Education of China,
Dalian University of Technology,
Dalian 116024, China
Teng Hongfei
School of Mechanical Engineering,
Dalian University of Technology,
Dalian 116024, China |
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PARTICLE SWARM
OPTIMIZATION
BASED ON PYRAMID MODEL FOR
SATELLITE MODULE LAYOUT*
Abstract:
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.
Key words:
Particle swarm optimization Pyramid model Layout design Satellite module |