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Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICACIA.2008.4769976
DC FieldValue
dc.titleAn Ant colony optimization approach to disassembly planning
dc.contributor.authorLu, C.
dc.contributor.authorHuang, H.Z.
dc.contributor.authorZheng, B.
dc.contributor.authorFuh, J.Y.H.
dc.contributor.authorWong, Y.S.
dc.date.accessioned2014-06-19T05:31:43Z
dc.date.available2014-06-19T05:31:43Z
dc.date.issued2008
dc.identifier.citationLu, 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
dc.identifier.isbn9781424434251
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/73150
dc.description.abstractThis 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICACIA.2008.4769976
dc.sourceScopus
dc.subjectAnt colony optimization
dc.subjectDisassembly planning
dc.subjectMulti-objective
dc.subjectUniform design
dc.typeConference Paper
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.doi10.1109/ICACIA.2008.4769976
dc.description.sourcetitle2008 International Conference on Apperceiving Computing and Intelligence Analysis, ICACIA 2008
dc.description.page81-84
dc.identifier.isiut000267355000020
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