求解机械优化的Pareto多目标中心粒子群算法

Multi-objective center PSO based on Pareto for mechanical optimization

针对基于权重法的多目标算法无法求解约束多目标问题的缺陷,将中心粒子群算法与Pareto解集搜索算法相结合,提出一种Pareto多目标中心粒子群算法。将此方法用来优化气门弹簧的模型,实验结果表明,该优化方法能够快速准确地收敛于Pa-reto解集,并且使其对应的目标域均匀地分布于Pareto最优目标域。

A Pareto-based Multi-Objective Center PSO（PMOCPSO）is proposed for the shortcoming weight-based multi-objective algorithm can not solve the constrained multi-objective problems by combining center-PSO and Pareto set search method,PMOCPSO method is used to optimize the model of valve spring,experiment results indicate that PMOCPSO method is able to find the solutions which are much more exact and efficient convergence to the Pareto set and much more wellproportioned distribute over the Pareto front.