Optimal design problem of system reliability with interval coefficient using improved genetic algorithms

Optimal design problem of system reliability with interval coefficient using improved genetic algorithms

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Article ID: iaor20013226
Country: United States
Volume: 37
Issue: 1/2
Start Page Number: 145
End Page Number: 149
Publication Date: Oct 1999
Journal: Computers & Industrial Engineering
Authors: ,
Keywords: programming: integer
Abstract:

In this paper, we first formulate a De Novo nonlinear integer programming (NIP-I(DN)) problem of system reliability with interval coefficients. It is used for estimating and designing optimal reliability of an incomplete fault detecting and switching system. Because of this we are able to use a linear approximation for monotonically increasing reliability function (i.e., objective function) of the original NIP problem. We then transformed it into Knapsack problem with interval coefficients. Last, the problem is solved directly using improved genetic algorithms by keeping the nonlinear constraints. We discuss and compare the efficiency between the proposed method and the former one.

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