DocumentCode :
2550299
Title :
An Ant Colony Optimization Approach to Disassembly Planning
Author :
Lu, C. ; Huang, H.Z. ; Zheng, B. ; Fuh, J.Y.H. ; Wong, Y.S.
Author_Institution :
Sch. of Mechatron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
fYear :
2008
fDate :
13-15 Dec. 2008
Firstpage :
81
Lastpage :
84
Abstract :
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.
Keywords :
Pareto optimisation; assembly planning; search problems; Pareto frontier; ant colony optimization; disassembly planning; multi-objective searching algorithm; uniformly scattered directions; Algorithm design and analysis; Ant colony optimization; Assembly; Costs; Drives; Mechanical engineering; Mechatronics; Process planning; Scattering; Technology planning; Ant colony optimization; disassembly planning; multi-objective; uniform design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Apperceiving Computing and Intelligence Analysis, 2008. ICACIA 2008. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3427-5
Electronic_ISBN :
978-1-4244-3426-8
Type :
conf
DOI :
10.1109/ICACIA.2008.4769976
Filename :
4769976
Link To Document :
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