Using genetic algorithm to optimize a system with repairable components and multi-vacations for repairmen

被引：2

作者：

Shahriari, Mohammadreza ^{[1
]}

机构：

[1] Islamic Azad Univ, Fac Ind Management, South Tehran Branch, Tehran, Iran

来源：

INTERNATIONAL JOURNAL OF NONLINEAR ANALYSIS AND APPLICATIONS | 2022年 / 13卷 / 02期

关键词：

Redundancy allocation problem; Multiple vacation repairmen; Reparable components; Genetic; algorithm; REDUNDANCY ALLOCATION PROBLEM; RELIABILITY OPTIMIZATION; CHOICE;

D O I：

10.22075/ijnaa.2022.27935.3760

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In this paper, we present a redundancy allocation problem (RAP) with series-parallel sub-systems and repairable components. The repairmen will go on multiple vacations. In repairable systems, a fundamental aspect to be considered is to predict the reliability of the systems under study. Set a reliability model for repairable systems, however, is still a challenging problem when considering the dependency This paper aims to evaluate the number of components and repairmen in each sub-system. Because this RAP belongs to Np. Hard problems, also, a Genetic algorithm to solve the presented model.

引用

页码：3139 / 3144

页数：6

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