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...

Celý popis

Podrobná bibliografia

Vydané v:	Computers & industrial engineering Ročník 30; číslo 4; s. 905 - 917
Hlavní autori:	Yokota, Takao, Gen, Mitsuo, Li, Yin-Xiu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Elsevier Ltd 01.09.1996 Pergamon Press Inc
Predmet:	Algorithms Applications Genetic algorithms Industrial engineering Integer programming Nonlinear programming Studies
ISSN:	0360-8352, 1879-0550
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!