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Genetic algorithm for non-linear mixed integer programming problems and its applications

delete1996-09-01
delete178
PRE
AI
T
Takao Yokota *
M
Mitsuo Gen
Y
Yinxiu Li
DOI：10.1016/0360-8352(96)00041-1delete
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Abstract

Abstract

En 中文
In this paper we propose a method for solving non-linear mixed integer programming (NMIP) problems using genetic algorithm (GAs) to get an optimal or near optimal solution. The penalty function method was used to evaluate those infeasible chromosomes generated from genetic reproduction. Also, we apply the method for solving several optimization problems of system reliability which belong to non-linear integer programming (NIP) or (NMIP) problems, using the proposed method. Numerical experiments and comparisons with previous works are illustrated to demonstrate the efficiency of the proposed method. Copyright (C) 1996 Elsevier Science Ltd

Journal

Computers and Industrial Engineering cover
Computers and Industrial Engineering
IF:
6.5
Papers:
1.0W
Citations:
3.8W

Organization

No organization information available