Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICACIA.2008.4769976
Title: An Ant colony optimization approach to disassembly planning
Authors: Lu, C.
Huang, H.Z.
Zheng, B.
Fuh, J.Y.H. 
Wong, Y.S. 
Keywords: Ant colony optimization
Disassembly planning
Multi-objective
Uniform design
Issue Date: 2008
Source: Lu, C., Huang, H.Z., Zheng, B., Fuh, J.Y.H., Wong, Y.S. (2008). An Ant colony optimization approach to disassembly planning. 2008 International Conference on Apperceiving Computing and Intelligence Analysis, ICACIA 2008 : 81-84. ScholarBank@NUS Repository. https://doi.org/10.1109/ICACIA.2008.4769976
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. © 2008 IEEE.
Source Title: 2008 International Conference on Apperceiving Computing and Intelligence Analysis, ICACIA 2008
URI: http://scholarbank.nus.edu.sg/handle/10635/73150
ISBN: 9781424434251
DOI: 10.1109/ICACIA.2008.4769976
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

3
checked on Dec 6, 2017

Page view(s)

27
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.