Particle swarm optimization applied in the product component layout design
微粒群算法在产品组件布局设计中的应用

This paper proposed a self-adapting algorithm using particle swarm optimization to deal with the constrained layout optimization problems. This algorithm based on component feature model, integrating human-computer interactive technique into Particle Swarm Optimization (PSO), can solve the problem more efficiently. And the effectiveness of this method is verified in the layout problem of cell-phone components. Theoretical and case analysis show that this improved algorithm can create multiple layout schemes of cell-phone components quickly and efficiently.