期刊
RELIABILITY ENGINEERING & SYSTEM SAFETY
卷 82, 期 3, 页码 319-330出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ress.2003.08.001
关键词
availability allocation; multi-objective optimization; genetic algorithms
This paper describes a methodology based on genetic algorithms (GA) and experiments plan to optimize the availability and the cost of reparable parallel-series systems. It is a NP-hard problem of multi-objective combinatorial optimization, modeled with continuous and discrete variables. By using the weighting technique, the problem is transformed into a single-objective optimization problem whose constraints are then relaxed by the exterior penalty technique. We then propose a search of solution through GA, whose parameters are adjusted using experiments plan technique. A numerical example is used to assess the method. (C) 2003 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据