首页 | 本学科首页   官方微博 | 高级检索  
     

求解机械优化的Pareto多目标中心粒子群算法
引用本文:桂旺生,刘利斌,欧阳艾嘉,周永权,李肯立.求解机械优化的Pareto多目标中心粒子群算法[J].计算机工程与应用,2011,47(4):57-60.
作者姓名:桂旺生  刘利斌  欧阳艾嘉  周永权  李肯立
作者单位: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
基金项目:国家自然科学基金重大研究计划(No.90715029),国家自然科学基金(No.60603053)~~
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。

关 键 词:Pareto解集  多目标优化  中心粒子群  机械优化
收稿时间:2010-7-21
修稿时间:2010-10-29  

Multi-objective center PSO based on Pareto for mechanical optimization
GUI Wangsheng,LIU Libin,OUYANG Aijia,ZHOU Yongquan,LI Kenli.Multi-objective center PSO based on Pareto for mechanical optimization[J].Computer Engineering and Applications,2011,47(4):57-60.
Authors:GUI Wangsheng  LIU Libin  OUYANG Aijia  ZHOU Yongquan  LI Kenli
Affiliation:GUI Wangsheng1,LIU Libin1,OUYANG Aijia2,ZHOU Yongquan3,LI Kenli41.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
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 wellproportioned distribute over the Pareto front.
Keywords:Pareto set  multi-objective optimization  center PSO  mechanical optimization
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机工程与应用》浏览原始摘要信息
点击此处可从《计算机工程与应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号