Solving the redundancy allocation problem using a combined neural network/genetic algorithm approach

被引:80
作者
Coit, DW [1 ]
Smith, AE [1 ]
机构
[1] UNIV PITTSBURGH,DEPT IND ENGN,PITTSBURGH,PA 15261
关键词
D O I
10.1016/0305-0548(95)00056-9
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper optimizes a well known NP-hard combinatorial problem-redundancy allocation-using a combined neural network and genetic algorithm (GA) approach. The GA searches for the minimum cost solution by selecting the appropriate components for a series-parallel system, given a minimum system reliability constraint. A neural network is used to estimate the system reliability value during search. This approach is an example of a computationally efficient method to apply GA optimization to problems for which repeated calculation of the objective function is impractical. Copyright (C) 1996 Elsevier Science Ltd
引用
收藏
页码:515 / 526
页数:12
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