Title of article
A genetic algorithm for interval nonlinear integer programming problem
Author/Authors
Takao Yokota، نويسنده , , Mitsuo Gen، نويسنده , , Yinxiu Li، نويسنده , , Chang Eun Kim، نويسنده ,
Issue Information
ماهنامه با شماره پیاپی سال 1996
Pages
5
From page
913
To page
917
Abstract
In this paper, we formulate an optimal design of system reliability problem as a nonlinear integer programming problem with interval coefficients, transform it into a single objective nonlinear integer programming problem without interval coefficients, and solve it directly with keeping nonlinearity of the objective function by using Genetic Algorithms (GA). Also, we demonstrate the efficiency of this method with incomplete Fault Detecting and Switching (FDS) for allocating redundant units.
Keywords
Interval coefficient , Genetic algorithms , Nonlinear integer programming , Incomplete FDS
Journal title
Computers & Industrial Engineering
Serial Year
1996
Journal title
Computers & Industrial Engineering
Record number
924682
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