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

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 app...

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Bibliographic Details

Published in:	Computers & industrial engineering Vol. 30; no. 4; pp. 905 - 917
Main Authors:	Yokota, Takao, Gen, Mitsuo, Li, Yin-Xiu
Format:	Journal Article
Language:	English
Published:	New York Elsevier Ltd 01.09.1996 Pergamon Press Inc
Subjects:	Algorithms Applications Genetic algorithms Industrial engineering Integer programming Nonlinear programming Studies
ISSN:	0360-8352, 1879-0550
Online Access:	Get full text
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