AN ANT COLONY OPTIMIZATION APPROACH TO DISASSEMBLY PLANNING

被引：4
|
作者：
Lu, C. [1 ]
Huang, H. Z. [1 ]
Zheng, B. [1 ]
Fuh, J. Y. H. [2 ]
Wong, Y. S. [2 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Mechatron Engn, Chengdu 610054, Peoples R China
[2] Natl Univ Singapore, Dept Mech Engn, Singapore 117548, Singapore
来源：
2008 INTERNATIONAL CONFERENCE ON APPERCEIVING COMPUTING AND INTELLIGENCE ANALYSIS (ICACIA 2008) | 2008年
关键词：
Ant colony optimization; disassembly planning; multi-objective; uniform design;
D O I：
10.1109/ICACIA.2008.4769976
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper proposes an ant colony optimization approach to disassembly planning. The mechanism of ant colony, optimization in disassembly planning is discussed, and the objectives to be optimized in disassembly planning are introduced. For more effective search for feasible non-dominated solutions, a multi-objective searching algorithm with uniform design is investigated to guide the ants searching the routes along the uniformly scattered directions toward Pareto frontier, based on this searching algorithm, an ant colony optimization approach to disassembly planning is developed. The results of the case study are given to verify the proposed approach.
引用
收藏
页码：81 / +
页数：2
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