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Solving the simple plant location problem by genetic algorithm

Published online by Cambridge University Press:  15 August 2002

Jozef Kratica ,
Dušan Tošic ,
Vladimir Filipović  and
Ivana Ljubić
Jozef Kratica
Affiliation:
University of Belgrade, Serbian Academy of Sciences and Arts, Institute of Mathematics, Strumicka 92/5, 11 000 Belgrade, Yugoslavia.
Dušan Tošic
Affiliation:
University of Belgrade, Faculty of Mathematics, Studentski trg 16, 11 000 Belgrade, Yugoslavia.
Vladimir Filipović
Affiliation:
University of Belgrade, Faculty of Mathematics, Studentski trg 16, 11 000 Belgrade, Yugoslavia.
Ivana Ljubić
Affiliation:
Institute for Computer Graphics, Faviritensstasse 9, Vienna, Austria.
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Abstract

The simple plant location problem (SPLP) is considered and a genetic algorithm is proposed to solve this problem. By using the developed algorithm it is possible to solve SPLP with more than 1000 facility sites and customers. Computational results are presented and compared to dual based algorithms.

Keywords

Simple plant location problemgenetic algorithmscombinatorial optimization

Information

Type
Research Article
Information
RAIRO - Operations Research , Volume 35 , Issue 1 , January 2001 , pp. 127 - 142
Copyright
© EDP Sciences, 2001

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