Title of article
A Hybrid Genetic Algorithm/Simulation Approach for Redundancy Optimization with Objective of Maximizing Mean Lifetime and Considering Component Selection
Author/Authors
Karimi، H. نويسنده Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran. , , Najafi، A.A. نويسنده Faculty of Industrial Engineering, K.N. Toosi University of Technology, Tehran, Iran ,
Issue Information
روزنامه با شماره پیاپی سال 2013
Pages
12
From page
38
To page
49
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 non-deterministic polynomial-time hard and is solved by a combined genetic algorithm - simulation approach. Finally, this algorithm is tested on 33 benchmark problems.
Journal title
International Journal of Research in Industrial Engineering
Serial Year
2013
Journal title
International Journal of Research in Industrial Engineering
Record number
944762
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