CIVILICA We Respect the Science
(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

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

عنوان مقاله: Genetic Algorithm and Simulated Annealing for Redundancy Allocation Problem with Cold-standby Strategy
شناسه ملی مقاله: JR_JOIE-4-8_007
منتشر شده در شماره 8 دوره 4 فصل Winter and Spring در سال 1389
مشخصات نویسندگان مقاله:

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

خلاصه مقاله:
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.

کلمات کلیدی:
Redundancy allocation problem; Cold-standby; Series-parallel systems; Genetic algorithm; Simulated annealing

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/790926/