Please use this identifier to cite or link to this item:
|Title:||A multi-objective disassembly planning approach with ant colony optimization algorithm||Authors:||Lu, C.
|Keywords:||Ant colony optimization
|Issue Date:||2008||Citation:||Lu, C., Huang, H.Z., Full, J.Y.H., Wong, Y.S. (2008). A multi-objective disassembly planning approach with ant colony optimization algorithm. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 222 (11) : 1465-1474. ScholarBank@NUS Repository. https://doi.org/10.1243/09544054JEM1252||Abstract:||This paper proposes a multi-objective disassembly planning approach with an ant colony optimization algorithm. The mechanism of ant colony optimization in disassembly planning is discussed, and the objectives to be optimized in disassembly planning are analysed. In order to allow a 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 towards the Pareto frontier; based on the above searching algorithm, an ant colony optimization algorithm for disassembly planning is developed. The results of a case study are given to verify the proposed approach. © IMechE 2008.||Source Title:||Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture||URI:||http://scholarbank.nus.edu.sg/handle/10635/54452||ISSN:||09544054||DOI:||10.1243/09544054JEM1252|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.