arrow
返回

Solving reliability redundancy allocation problems using an artificial bee colony algorithm

delete2011-11-01
delete176
PRE
AI
W
Wei‐Chang Yeh
T
Tsung-Jung Hsieh *
DOI:10.1016/j.cor.2010.10.028delete
delete原文链接
delete分享
delete收藏
摘要

摘要

En 中文
This paper proposed a penalty guided artificial bee colony algorithm (ABC) to solve the reliability redundancy allocation problem (RAP). The redundancy allocation problem involves setting reliability objectives for components or subsystems in order to meet the resource consumption constraint, e.g. the total cost. RAP has been an active area of research for the past four decades. The difficulty that one is confronted with the RAP is the maintenance of feasibility with respect to three nonlinear constraints, namely, cost, weight and volume related constraints. In this paper nonlinearly mixed-integer reliability design problems are investigated where both the number of redundancy components and the corresponding component reliability in each subsystem are to be decided simultaneously so as to maximize the reliability of the system. The reliability design problems have been studied in the literature for decades, usually using mathematical programming or heuristic optimization approaches. To the best of our knowledge the ABC algorithm can search over promising feasible and infeasible regions to find the feasible optimal/near-optimal solution effectively and efficiently; numerical examples indicate that the proposed approach performs well with the reliability redundant allocation design problems considered in this paper and computational results compare favorably with previously-developed algorithms in the literature. (C) 2010 Elsevier Ltd. All rights reserved.
Keyword:
Reliability design
Redundancy allocation problem
Artificial bee colony algorithm
Mixed-integer nonlinear programming
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

C
Computers and Operations Research
IF:
4.3
论文数:
6.5K
被引数:
2.0W

机构

N
National Tsing Hua University
学者数:
749
论文数: 251
被引数: 3
引用论文

引用论文

err分享
err收藏
学者 查看更多内容