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

Author

Ebrahimipour, V. ; Sheikhalishahi, M.

Author_Institution

Dept. of Ind. Eng., Univ. of Tehran, Tehran, Iran

fYear

2011

fDate

4-7 April 2011

Firstpage

326

Lastpage

333

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.

Keywords

design engineering; fuzzy set theory; number theory; particle swarm optimisation; reliability theory; MOPSO; RRAP; crisp model; discount rate; engineering design; fuzzy multiobjective optimization problem; fuzzy multiobjective reliability redundancy allocation problem; multiobjective particle swarm optimization; triangular fuzzy number; Equations; Mathematical model; Optimization; Particle swarm optimization; Redundancy; Resource management; discount rate; fuzzy reliability; multi-objective; particle swarm optimization; reliability redundancy allocation problem;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems Conference (SysCon), 2011 IEEE International

Conference_Location

Montreal, QC

Print_ISBN

978-1-4244-9494-1

Type

conf

DOI

10.1109/SYSCON.2011.5929085

Filename

5929085