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 problem, genetic algorithms, combinatorial optimization
@article{RO_2001__35_1_127_0,
author = {Kratica, Jozef and To\v sic, Du\v san and Filipovi\'c, Vladimir and Ljubi\'c, Ivana},
title = {Solving the simple plant location problem by genetic algorithm},
journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
publisher = {EDP-Sciences},
volume = {35},
number = {1},
year = {2001},
pages = {127-142},
zbl = {0995.90055},
mrnumber = {1841818},
language = {en},
url = {http://www.numdam.org/item/RO_2001__35_1_127_0}
}
Kratica, Jozef; Tošic, Dušan; Filipović, Vladimir; Ljubić, Ivana. Solving the simple plant location problem by genetic algorithm. RAIRO - Operations Research - Recherche Opérationnelle, Volume 35 (2001) no. 1, pp. 127-142. http://www.numdam.org/item/RO_2001__35_1_127_0/
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