A penalty guided stochastic fractal search approach for system reliability optimization

被引：80

作者：

Mellal, Mohamed Arezki ^{[1
]}

Zio, Enrico ^{[2
,3
]}

机构：

[1] MHamed Bougara Univ, Fac Engn Sci FSI, LMSS, Boumerdes, Algeria

[2] Univ Paris Saclay, Fdn Elect France EDF, Chair Syst Sci & Energy Challenge, CentraleSupelec, Grande Voie Vignes, F-92290 Chatenay Malabry, France

[3] Politecn Milan, Energy Dept, I-20133 Milan, Italy

来源：

RELIABILITY ENGINEERING & SYSTEM SAFETY | 2016年 / 152卷

关键词：

Reliability allocation; Redundancy allocation; Stochastic fractal search; Optimization; REDUNDANCY ALLOCATION PROBLEM; 2-PHASE APPROACH; HARMONY SEARCH; CUCKOO SEARCH; ALGORITHM;

D O I：

10.1016/j.ress.2016.03.019

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Modern industry requires components and systems with high reliability levels. In this paper, we address the system reliability optimization problem. A penalty guided stochastic fractal search approach is developed for solving reliability allocation, redundancy allocation, and reliability-redundancy allocation problems. Numerical results of ten case studies are presented as benchmark problems for highlighting the superiority of the proposed approach compared to others from literature. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：213 / 227

页数：15

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