Standby redundancy optimization problems with fuzzy lifetimes

作     者：Zhao, RQ Liu, BD 

作者机构：Tianjin Univ Inst Syst Engn Tianjin 300072 Peoples R China Tsinghua Univ Dept Math Sci Uncertainty Theory Lab Beijing 100084 Peoples R China 

出 版 物：《COMPUTERS & INDUSTRIAL ENGINEERING》 (计算机与工业工程)

年 卷 期：2005年第49卷第2期

页      面：318-338页

核心收录：

学科分类：1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：National Natural Science Foundation of China, NSFC, (60425309, 70471049) China Postdoctoral Science Foundation, (2004035013) 

主　　题：system reliability fuzzy programming genetic algorithm neural network 

摘      要：Three types of system performances-the expected system lifetime, a-system lifetime, and system reliability-characterized in the context of credibility are investigated in this paper. Some fuzzy simulations are designed to estimate these system performances. In order to formulate general standby redundancy optimization problems with fuzzy lifetimes, a spectrum of standby redundancy fuzzy programming models are proposed. Fuzzy simulation, neural network, and genetic algorithm are also integrated to produce a hybrid intelligent algorithm for solving those models. Finally, some numerical experiments on multi-stage system and network system are provided. (c) 2005 Elsevier Ltd. All rights reserved.