A maximal client coverage algorithm for the p-center problem
In this work, we propose a maximal client coverage algorithm for solving the p-center problem. The algorithm is created to locate p facilities and assign clients to them in order to minimize the maximum distance between clients and the facilities. We consider both uncapacitated and capacitated cases...
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th-cmuir.6653943832-386762015-06-16T07:53:53Z A maximal client coverage algorithm for the p-center problem Dantrakul,S. Likasiri,C. Mathematics (all) In this work, we propose a maximal client coverage algorithm for solving the p-center problem. The algorithm is created to locate p facilities and assign clients to them in order to minimize the maximum distance between clients and the facilities. We consider both uncapacitated and capacitated cases where demands of clients and capacities of facilities are taken into account. The simulations to test the proposed algorithm are also given and compared with method given by Albareda-Sambola et al. in 2010. Optimal solutions of the test problems are found using branch and bound algorithm to compare the optimality gaps of the proposed heuristics. The proposed heuristics solutions are found to be statistically faster than the reference algorithm at the significance level α = 0.01 in both uncapacitated and capacitated cases.© 2012 by the Mathematical Association of Thailand. All rights reserved. 2015-06-16T07:53:53Z 2015-06-16T07:53:53Z 2012-08-01 Article 16860209 2-s2.0-84872532424 http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84872532424&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/38676 Chiang Mai University |
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Mathematics (all) Dantrakul,S. Likasiri,C. A maximal client coverage algorithm for the p-center problem |
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In this work, we propose a maximal client coverage algorithm for solving the p-center problem. The algorithm is created to locate p facilities and assign clients to them in order to minimize the maximum distance between clients and the facilities. We consider both uncapacitated and capacitated cases where demands of clients and capacities of facilities are taken into account. The simulations to test the proposed algorithm are also given and compared with method given by Albareda-Sambola et al. in 2010. Optimal solutions of the test problems are found using branch and bound algorithm to compare the optimality gaps of the proposed heuristics. The proposed heuristics solutions are found to be statistically faster than the reference algorithm at the significance level α = 0.01 in both uncapacitated and capacitated cases.© 2012 by the Mathematical Association of Thailand. All rights reserved. |
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Article |
author |
Dantrakul,S. Likasiri,C. |
author_facet |
Dantrakul,S. Likasiri,C. |
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Dantrakul,S. |
title |
A maximal client coverage algorithm for the p-center problem |
title_short |
A maximal client coverage algorithm for the p-center problem |
title_full |
A maximal client coverage algorithm for the p-center problem |
title_fullStr |
A maximal client coverage algorithm for the p-center problem |
title_full_unstemmed |
A maximal client coverage algorithm for the p-center problem |
title_sort |
maximal client coverage algorithm for the p-center problem |
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Chiang Mai University |
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2015 |
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http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84872532424&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/38676 |
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