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基于粒子群算法的并行公差优化设计模型求解

刘超 刘少岗

天津科技大学学报Issue(1):67-70,4.
天津科技大学学报Issue(1):67-70,4.

基于粒子群算法的并行公差优化设计模型求解

Solution of Concurrent Tolerancing Optimization Design Model Based on Particle Swarm Optimization Algorithm

刘超 1刘少岗1

作者信息

  • 1. 天津科技大学机械工程学院,天津 300222
  • 折叠

摘要

Abstract

Firstly,a concurrent tolerance optimization design model was established. Minimum manufacturing cost was used as the optimization goal,and the assembly function requirement and machining capability were given as the restriction conditions of the model. Then,the particle swarm optimization toolbox(PSOt)was used to find out the solution to the con-current tolerance optimization design model,and the detailed process was given. Finally,the optimization result for an exam-ple was given to illustrate the validity of the particle swarm optimization(PSO)based on PSOt. Compared with the existing result,the proposed method is better in solving non-convex programming problems.

关键词

并行公差/成本公差函数/粒子群算法/粒子群工具箱

Key words

concurrent tolerance/cost-tolerance function/particle swarm optimization/PSOt

分类

机械制造

引用本文复制引用

刘超,刘少岗..基于粒子群算法的并行公差优化设计模型求解[J].天津科技大学学报,2013,(1):67-70,4.

基金项目

天津科技大学科学研究基金资助项目(20100226) (20100226)

天津科技大学学报

1672-6510

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