微粒群算法在产品组件布局设计中的应用

Particle swarm optimization applied in the product component layout design

提出了一种基于微粒群算法的自适应优化布局求解算法,该算法以组件特征模型为基础,在微粒群算法中引入人机交互技术,从整体上自动优化布局方案,以满足约束条件为目标。并以手机组件的布局求解为例,对该算法进行了验证。理论和实例分析表明,该算法能有效地生成多个手机组件布局方案。

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 eflqciently.