Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/63195
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dc.titleMulti-objective simulation-based evolutionary algorithm for an aircraft spare parts allocation problem
dc.contributor.authorLee, L.H.
dc.contributor.authorChew, E.P.
dc.contributor.authorTeng, S.
dc.contributor.authorChen, Y.
dc.date.accessioned2014-06-17T07:01:17Z
dc.date.available2014-06-17T07:01:17Z
dc.date.issued2008-09-01
dc.identifier.citationLee, L.H., Chew, E.P., Teng, S., Chen, Y. (2008-09-01). Multi-objective simulation-based evolutionary algorithm for an aircraft spare parts allocation problem. European Journal of Operational Research 189 (2) : 476-491. ScholarBank@NUS Repository.
dc.identifier.issn03772217
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/63195
dc.description.abstractSimulation optimization has received considerable attention from both simulation researchers and practitioners. In this study, we develop a solution framework which integrates multi-objective evolutionary algorithm (MOEA) with multi-objective computing budget allocation (MOCBA) method for the multi-objective simulation optimization problem. We apply it on a multi-objective aircraft spare parts allocation problem to find a set of non-dominated solutions. The problem has three features: huge search space, multi-objective, and high variability. To address these difficulties, the solution framework employs simulation to estimate the performance, MOEA to search for the more promising designs, and MOCBA algorithm to identify the non-dominated designs and efficiently allocate the simulation budget. Some computational experiments are carried out to test the effectiveness and performance of the proposed solution framework. © 2007 Elsevier B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.ejor.2007.05.036
dc.sourceScopus
dc.subjectEvolutionary computing
dc.subjectMulti-objective computing budget allocation
dc.subjectMulti-objective simulation optimization
dc.subjectPareto optimality
dc.subjectSpare parts inventory problem
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.sourcetitleEuropean Journal of Operational Research
dc.description.volume189
dc.description.issue2
dc.description.page476-491
dc.description.codenEJORD
dc.identifier.isiut000254814800013
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