NDLI: Application of multi-objective particle swarm optimization to solve a fuzzy multi-objective reliability redundancy allocation problem

Content Provider	IEEE Xplore Digital Library
Author	Ebrahimipour, V. Sheikhalishahi, M.
Copyright Year	2011
Description	Author affiliation: Department of Industrial Engineering, College of Engineering, University of Tehran, P.O. Box, 11555-4563, Iran (Ebrahimipour, V.; Sheikhalishahi, M.)
Abstract	Reliability Redundancy Allocation Problem (RRAP) is a major problem in engineering design practices. RRAP includes two major concerns that are specifying the redundancy level and the reliability of each component. The purpose of this approach is to increase reliability level of system by considering related constraints. In this article a multi-objective RRAP comprising of reliability and cost as objective functions is studied. In this study, the discount rate for cost of the components is taken into account. Reliability level of each component is regarded as a triangular fuzzy number as well, and a fuzzy multi-objective optimization problem is developed to handle this issue. Then, the expected value concept is used to convert developed model to a crisp model. Finally, multi-objective particle swarm optimization (MOPSO) is applied to solve the crisp model.
Starting Page	326
Ending Page	333
File Size	627894
Page Count	8
File Format	PDF
ISBN	9781424494941
e-ISBN	9781424494934
DOI	10.1109/SYSCON.2011.5929085
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-04
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	discount rate Redundancy reliability redundancy allocation problem particle swarm optimization Resource management Mathematical model Particle swarm optimization Optimization Equations multi-objective fuzzy reliability
Content Type	Text
Resource Type	Article

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