A Hybrid Genetic Algorithm/Simulation Approach for Redundancy Optimization with Objective of Maximizing Mean Lifetime and Considering Component Selection
Publish Year: 1392
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_RIEJ-2-2_003
تاریخ نمایه سازی: 15 فروردین 1401
Abstract:
In this paper, we consider a reliability redundancy optimization problem in a series-parallel type system employing the redundancy strategy of cold-standby. The problem consists of two parts component selection and determination of redundancy level of each component—which need to be solved so that the mean lifetime of the system can be maximized. The redundancy allocation problem is nondeterministic polynomial-time hard and is solved by a combined genetic algorithm - simulation approach. Finally, this algorithm is tested on ۳۳ benchmark problems.
Keywords:
Reliability , Redundancy allocation problem , Monte Carlo Method , Genetic algorithm , means time to failure
Authors
H. Karimi
Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran.
A.A. Najafi
Faculty of Industrial Engineering, K.N. Toosi University of Technology, Tehran, Iran.