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A survey of assembly planning based on intelligent optimization algorithms

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Assembly planning is one of the NP complete problems, which is even more difficult to solve for complex products. Intelligent optimization algorithms have obvious advantages to deal with such combinatorial problems. Various intelligent optimization algorithms have been applied to assembly sequence planning and optimization in the last decade. This paper surveys the state-of-the-art of the assembly planning methods based on the intelligent optimization algorithms. Five intelligent optimization algorithms, i.e. genetic algorithm (GA), artificial neural networks (ANN), simulated annealing (SA), ant colony algorithm (ACO) and artificial immune algorithm (AIA), and their applications in assembly planning and optimization are introduced respectively. The application features of the algorithms are summarized. At last, the future research directions of the assembly planning based on the intelligent optimization algorithms are discussed.

源语言英语
主期刊名2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008
1135-1141
页数7
版本PART B
出版状态已出版 - 2009
活动2008 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008 - New York City, NY, 美国
期限: 3 8月 20086 8月 2008

出版系列

姓名2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008
编号PART B
3

会议

会议2008 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008
国家/地区美国
New York City, NY
时期3/08/086/08/08

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