A Hybrid Strategic Oscillation with Path Relinking Algorithm for the Multiobjective <i>k</i>-Balanced Center Location Problem
This paper presents a hybridization of Strategic Oscillation with Path Relinking to provide a set of high-quality nondominated solutions for the Multiobjective <i>k</i>-Balanced Center Location problem. The considered location problem seeks to locate <i>k</i> out of <i>...
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doaj-99716863e2c04363ab5904e6fe3b33e62021-04-14T23:00:49ZengMDPI AGMathematics2227-73902021-04-01985385310.3390/math9080853A Hybrid Strategic Oscillation with Path Relinking Algorithm for the Multiobjective <i>k</i>-Balanced Center Location ProblemJesús Sánchez-Oro0Ana D. López-Sánchez1Anna Martínez-Gavara2Alfredo G. Hernández-Díaz3Abraham Duarte4Computer Science Department, Universidad Rey Juan Carlos, Tulipán s/n, 28933 Móstoles, Madrid, SpainEconomy, Quantitative Methods, and Economic History Department, Universidad Pablo de Olavide, Ctra. de Utrera km 1, 41013 Sevilla, SpainStatistic and Operational Research Department, Universitat de València, Doctor Moliner, 50, 46100 Burjassot, València, SpainEconomy, Quantitative Methods, and Economic History Department, Universidad Pablo de Olavide, Ctra. de Utrera km 1, 41013 Sevilla, SpainComputer Science Department, Universidad Rey Juan Carlos, Tulipán s/n, 28933 Móstoles, Madrid, SpainThis paper presents a hybridization of Strategic Oscillation with Path Relinking to provide a set of high-quality nondominated solutions for the Multiobjective <i>k</i>-Balanced Center Location problem. The considered location problem seeks to locate <i>k</i> out of <i>m</i> facilities in order to serve <i>n</i> demand points, minimizing the maximum distance between any demand point and its closest facility while balancing the workload among the facilities. An extensive computational experimentation is carried out to compare the performance of our proposal, including the best method found in the state-of-the-art as well as traditional multiobjective evolutionary algorithms.https://www.mdpi.com/2227-7390/9/8/853discrete optimization<i>k</i>-center problem<i>k</i>-balanced problemmultiobjective optimizationGreedy Randomized Adaptive Search Procedure (GRASP)strategic oscillation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jesús Sánchez-Oro Ana D. López-Sánchez Anna Martínez-Gavara Alfredo G. Hernández-Díaz Abraham Duarte |
spellingShingle |
Jesús Sánchez-Oro Ana D. López-Sánchez Anna Martínez-Gavara Alfredo G. Hernández-Díaz Abraham Duarte A Hybrid Strategic Oscillation with Path Relinking Algorithm for the Multiobjective <i>k</i>-Balanced Center Location Problem Mathematics discrete optimization <i>k</i>-center problem <i>k</i>-balanced problem multiobjective optimization Greedy Randomized Adaptive Search Procedure (GRASP) strategic oscillation |
author_facet |
Jesús Sánchez-Oro Ana D. López-Sánchez Anna Martínez-Gavara Alfredo G. Hernández-Díaz Abraham Duarte |
author_sort |
Jesús Sánchez-Oro |
title |
A Hybrid Strategic Oscillation with Path Relinking Algorithm for the Multiobjective <i>k</i>-Balanced Center Location Problem |
title_short |
A Hybrid Strategic Oscillation with Path Relinking Algorithm for the Multiobjective <i>k</i>-Balanced Center Location Problem |
title_full |
A Hybrid Strategic Oscillation with Path Relinking Algorithm for the Multiobjective <i>k</i>-Balanced Center Location Problem |
title_fullStr |
A Hybrid Strategic Oscillation with Path Relinking Algorithm for the Multiobjective <i>k</i>-Balanced Center Location Problem |
title_full_unstemmed |
A Hybrid Strategic Oscillation with Path Relinking Algorithm for the Multiobjective <i>k</i>-Balanced Center Location Problem |
title_sort |
hybrid strategic oscillation with path relinking algorithm for the multiobjective <i>k</i>-balanced center location problem |
publisher |
MDPI AG |
series |
Mathematics |
issn |
2227-7390 |
publishDate |
2021-04-01 |
description |
This paper presents a hybridization of Strategic Oscillation with Path Relinking to provide a set of high-quality nondominated solutions for the Multiobjective <i>k</i>-Balanced Center Location problem. The considered location problem seeks to locate <i>k</i> out of <i>m</i> facilities in order to serve <i>n</i> demand points, minimizing the maximum distance between any demand point and its closest facility while balancing the workload among the facilities. An extensive computational experimentation is carried out to compare the performance of our proposal, including the best method found in the state-of-the-art as well as traditional multiobjective evolutionary algorithms. |
topic |
discrete optimization <i>k</i>-center problem <i>k</i>-balanced problem multiobjective optimization Greedy Randomized Adaptive Search Procedure (GRASP) strategic oscillation |
url |
https://www.mdpi.com/2227-7390/9/8/853 |
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