Solving the simple plant location problem by genetic algorithm
Jozef Kratica; Dušan Tošic; Vladimir Filipović; Ivana Ljubić[1]
- [1] Institute for Computer Graphics, Faviritensstasse 9, Vienna, Austria;
RAIRO - Operations Research - Recherche Opérationnelle (2001)
- Volume: 35, Issue: 1, page 127-142
- ISSN: 0399-0559
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topKratica, Jozef, et al. "Solving the simple plant location problem by genetic algorithm." RAIRO - Operations Research - Recherche Opérationnelle 35.1 (2001): 127-142. <http://eudml.org/doc/105234>.
@article{Kratica2001,
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.},
affiliation = {Institute for Computer Graphics, Faviritensstasse 9, Vienna, Austria;},
author = {Kratica, Jozef, Tošic, Dušan, Filipović, Vladimir, Ljubić, Ivana},
journal = {RAIRO - Operations Research - Recherche Opérationnelle},
keywords = {simple plant location problem; genetic algorithms; combinatorial optimization; genetic algorithm},
language = {eng},
number = {1},
pages = {127-142},
publisher = {EDP-Sciences},
title = {Solving the simple plant location problem by genetic algorithm},
url = {http://eudml.org/doc/105234},
volume = {35},
year = {2001},
}
TY - JOUR
AU - Kratica, Jozef
AU - Tošic, Dušan
AU - Filipović, Vladimir
AU - Ljubić, Ivana
TI - Solving the simple plant location problem by genetic algorithm
JO - RAIRO - Operations Research - Recherche Opérationnelle
PY - 2001
PB - EDP-Sciences
VL - 35
IS - 1
SP - 127
EP - 142
AB - 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.
LA - eng
KW - simple plant location problem; genetic algorithms; combinatorial optimization; genetic algorithm
UR - http://eudml.org/doc/105234
ER -
References
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