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基于遗传算法的产品装配序列规划研究

蒋超 吴波 李明宇 赵勇力 王小成

机械与电子Issue(4):7-11,5.
机械与电子Issue(4):7-11,5.

基于遗传算法的产品装配序列规划研究

Product Assembly Sequence Planning Based on Genetic Algorithm

蒋超 1吴波 1李明宇 1赵勇力 2王小成2

作者信息

  • 1. 华中科技大学机械科学与工程学院,湖北武汉430074
  • 2. 南车青岛四方机车车辆股份有限公司,山东青岛266111
  • 折叠

摘要

Abstract

The improved genetic algorithm, based on the interference matrix which was establish- ed to describe the geometric interference relations in the components and the objective function considering of the assembly reorientation times, assembly tool change times, the assembly body stability and the assembly basis parts position in the sequence,was used to solve the assembly sequence planning problem. Appropriate crossover operator, mutation operator and fitness function were improved to plan the product assembly sequence which was closer to the actual assembly process. While the primary population is forming, the making up composition of feasible assembly sequence for population improvement that obtainedfrom virtual disassembly sequence with DELMIA software could be inputted. A case study was given to illustrate the availability of the improved algorithm.

关键词

装配序列规划/遗传算法/基础件

Key words

assembly sequence planning genetic algorithm/assembly basis part

分类

机械制造

引用本文复制引用

蒋超,吴波,李明宇,赵勇力,王小成..基于遗传算法的产品装配序列规划研究[J].机械与电子,2012,(4):7-11,5.

基金项目

“十一五”国家科技支撑计划(2009BAG12A01-G01-3) (2009BAG12A01-G01-3)

机械与电子

OACSTPCD

1001-2257

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