中国机械工程Issue(5)：658-662,663,6.DOI:10.3969/j.issn.1004132X.2015.05.016
用GAAA优化多阶段装配过程中的夹具布局
Fixture Layout Optimization in Multi-station Assembly Processes Using GAAA
摘要
Abstract
GAAA (genetic algorithm-ant colony algorithm)was augmented to solve fixture layout optimization problems of 2D rigid parts in multi-station assembly processes,and the coordinates of two locating pins were properly selected to minimize the sensitivity index.The stability and conver-gence of GAAA were improved by changing the mutation operator,mutation length of genetic algo-rithm and the position where crossover and mutation occured in ant colony algorithm.A case about automotive side aperture assembly processes was studied to verify the effectiveness of the augmented GAAA.The results show that the augmented GAAA can generate more accurate results with a faster rate of convergence and a better stability than the basic GAAA and ant colony algorithm.关键词
多阶段装配过程/状态空间模型/夹具布局优化/遗传算法与蚁群算法的融合Key words
multi-station assembly process/state space model/fixture layout optimization/ge-netic algorithm-ant colony algorithm(GAAA)分类
机械制造引用本文复制引用
谢伟松,邓铮,丁伯慧..用GAAA优化多阶段装配过程中的夹具布局[J].中国机械工程,2015,(5):658-662,663,6.基金项目
国家自然科学基金资助项目(51205286,51275348) （51205286,51275348）
