Genetic Algorithm and Simulated Annealing for Redundancy Allocation Problem with Cold-standby Strategy

Publish Year: 1389
نوع سند: مقاله ژورنالی
زبان: English
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JR_JOIE-4-8_007

تاریخ نمایه سازی: 22 آبان 1397

Abstract:

This paper presents a new mathematical model for a redundancyallocation problem (RAP) withcold-standby redundancy strategy and multiple component choices.The applications of the proposed model arecommon in electrical power, transformation,telecommunication systems,etc.Manystudies have concentrated onone type of time-to-failure, butin thispaper, two components of time-to-failures which followhypo-exponential and exponential distributionare investigated. The goal of the RAP is to select available components and redundancy levelfor each subsystem for maximizing system reliability under cost and weight constraints.Sincethe proposed model belongs to NP-hard class,we proposed two metaheuristic algorithms; namely, simulated annealing and genetic algorithm to solve it. In addition, a numerical exampleis presented to demonstrate the application of the proposed solution methodology.

Authors

Aida Karimi

MSc, Faculty of Mechanical and Industrial Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

Mani Sharifi

Assistant Professor, Faculty of Mechanical and Industrial Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

Amirhossain Chambari

Young Research Club, Qazvin Branch, Islamic Azad university, Qazvin, Iran