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