Un problema de localización de plantas de gran escala

We develop an heuristic algorithm and its implementation for solving a large scale facility location problem, where there can arise over 640 facilities to be located in Mexico. Originally, we tried to obtain an exact solution to the problem, using two classical techniques: Benders decomposition, and...

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Bibliographic Details
Authors: Gutiérrez Andrade, Miguel Ángel, de los Cobos Silva, Sergio, Pérez Salvador, Blanca Rosa, Goddard, John
Format: article
Status:Published version
Publication Date:2000
Country:Costa Rica
Institution:Universidad de Costa Rica
Repository:Portal de Revistas UCR
Language:Spanish
OAI Identifier:oai:portal.ucr.ac.cr:article/184
Online Access:https://revistas.ucr.ac.cr/index.php/matematica/article/view/184
Access Level:Open access
Keyword:facility location
simulated annealing
heuristics
localización
sobrecalentamiento simulado
recocido simulado
heurística
Description
Summary:We develop an heuristic algorithm and its implementation for solving a large scale facility location problem, where there can arise over 640 facilities to be located in Mexico. Originally, we tried to obtain an exact solution to the problem, using two classical techniques: Benders decomposition, and branch and bound. Both techniques  are adequate and efficient for solving low-scale problems, but computer implementations for this problem did not converge after several hours of computing. Hence, we needed a good solution even if it was not exact. We used the simulated annealing technique with excellent results.