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.
Mots clés : simple plant location problem, genetic algorithms, combinatorial optimization
@article{RO_2001__35_1_127_0, author = {Kratica, Jozef and To\v{s}ic, Du\v{s}an 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}, pages = {127--142}, publisher = {EDP-Sciences}, volume = {35}, number = {1}, year = {2001}, zbl = {0995.90055}, mrnumber = {1841818}, language = {en}, url = {http://www.numdam.org/item/RO_2001__35_1_127_0/} }
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 DA - 2001/// SP - 127 EP - 142 VL - 35 IS - 1 PB - EDP-Sciences UR - http://www.numdam.org/item/RO_2001__35_1_127_0/ UR - https://zbmath.org/?q=an%3A0995.90055 UR - https://www.ams.org/mathscinet-getitem?mr=1841818 LA - en ID - RO_2001__35_1_127_0 ER -
Kratica, Jozef; Tošic, Dušan; Filipović, Vladimir; Ljubić, Ivana. Solving the simple plant location problem by genetic algorithm. RAIRO - Operations Research - Recherche Opérationnelle, Tome 35 (2001) no. 1, pp. 127-142. http://www.numdam.org/item/RO_2001__35_1_127_0/
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