Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (4): 57-60.DOI: 10.3778/j.issn.1002-8331.2011.04.016

• 研发、设计、测试 • Previous Articles     Next Articles

Multi-objective center PSO based on Pareto for mechanical optimization

GUI Wangsheng1,LIU Libin1,OUYANG Aijia2,ZHOU Yongquan3,LI Kenli4   

  1. 1.Department of Mathematics and Computer Science,University of Chizhou,Chizhou,Anhui 247000,China
    2.College of Mathematics and Information Engineering,Jiaxing University,Jiaxing,Zhejiang 314001,China
    3.School of Mathematics and Computer Science,Guangxi University for Nationalities,Nanning 530006,China
    4.School of Computer and Communication,Hunan University,Changsha 410082,China
  • Received:2010-07-21 Revised:2010-10-29 Online:2011-02-01 Published:2011-02-01
  • Contact: GUI Wangsheng

求解机械优化的Pareto多目标中心粒子群算法

桂旺生1,刘利斌1,欧阳艾嘉2,周永权3,李肯立4   

  1. 1.池州学院 数学与计算机科学系,安徽 池州 247000
    2.嘉兴学院 数学与信息工程学院,浙江 嘉兴 314001
    3.广西民族大学 数学与计算机科学学院,南宁 530006
    4.湖南大学 计算机与通信学院,长沙 410082
  • 通讯作者: 桂旺生

Abstract: 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 well-
proportioned distribute over the Pareto front.

Key words: Pareto set, multi-objective optimization, center PSO, mechanical optimization

摘要: 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Pareto解集,并且使其对应的目标域均匀地分布于Pareto最优目标域。

关键词: Pareto解集, 多目标优化, 中心粒子群, 机械优化

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