Metaheuristic Approaches to Solving Large-Scale Bilevel Uncapacitated Facility Location Problem With Clients’ Preferences
Yugoslav journal of operations research, Tome 25 (2015) no. 3, p. 361
Cet article a éte moissonné depuis la source eLibrary of Mathematical Institute of the Serbian Academy of Sciences and Arts
Abstract: In this study, we consider a variant of the Bilevel Uncapacitated Facility
Location Problem (BLUFLP), in which the clients choose suppliers based on their
own preferences. We propose and compare three metaheuristic approaches for
solving this problem: Particle Swarm Optimization (PSO), Simulated Annealing
(SA), and a combination of Reduced and Basic Variable Neighborhood Search
Method (VNS). We used the representation of solutions and objective function
calculation that are adequate for all three proposed methods. Additional strat-
egy is implemented in order to provide significant time savings when evaluating
small changes of solution’s code in improvement parts. Constructive elements of
each of the proposed algorithms are adapted to the problem under consideration.
The results of broad computational tests on modified problem instances from the
literature show good performance of all three proposed methods, even on large
problem dimensions. However, the obtained results indicate that the proposed
VNS-based has significantly better performance compared to SA and PSO ap-
proaches, especially when solving large-scale problem instances. Computational
experiments on large scale benchmarks demonstrate that the VNS-based method
is fast, competitive, and able to find high-quality solutions, even for large-scale
problem instances with up to 2000 clients and 2000 potential facilities within
reasonable CPU times.
Classification :
68T20, 90B80, 90B06.
Keywords: Keywords: Location problems, Discrete optimization, Particle Swarm Optimization, Simulated Annealing, Variable Neighborhood Search.
Keywords: Keywords: Location problems, Discrete optimization, Particle Swarm Optimization, Simulated Annealing, Variable Neighborhood Search.
@article{YJOR_2015_25_3_a2,
author = {Miroslav Maric and Zorica Stanimirovic and Nikola Milenkovic and Aleksandar Djenic},
title = {Metaheuristic {Approaches} to {Solving} {Large-Scale} {Bilevel} {Uncapacitated} {Facility} {Location} {Problem} {With} {Clients{\textquoteright}} {Preferences}},
journal = {Yugoslav journal of operations research},
pages = {361 },
year = {2015},
volume = {25},
number = {3},
language = {en},
url = {http://geodesic.mathdoc.fr/item/YJOR_2015_25_3_a2/}
}
TY - JOUR AU - Miroslav Maric AU - Zorica Stanimirovic AU - Nikola Milenkovic AU - Aleksandar Djenic TI - Metaheuristic Approaches to Solving Large-Scale Bilevel Uncapacitated Facility Location Problem With Clients’ Preferences JO - Yugoslav journal of operations research PY - 2015 SP - 361 VL - 25 IS - 3 UR - http://geodesic.mathdoc.fr/item/YJOR_2015_25_3_a2/ LA - en ID - YJOR_2015_25_3_a2 ER -
%0 Journal Article %A Miroslav Maric %A Zorica Stanimirovic %A Nikola Milenkovic %A Aleksandar Djenic %T Metaheuristic Approaches to Solving Large-Scale Bilevel Uncapacitated Facility Location Problem With Clients’ Preferences %J Yugoslav journal of operations research %D 2015 %P 361 %V 25 %N 3 %U http://geodesic.mathdoc.fr/item/YJOR_2015_25_3_a2/ %G en %F YJOR_2015_25_3_a2
Miroslav Maric; Zorica Stanimirovic; Nikola Milenkovic; Aleksandar Djenic. Metaheuristic Approaches to Solving Large-Scale Bilevel Uncapacitated Facility Location Problem With Clients’ Preferences. Yugoslav journal of operations research, Tome 25 (2015) no. 3, p. 361 . http://geodesic.mathdoc.fr/item/YJOR_2015_25_3_a2/