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Common influence region problems

In this paper we propose and solve common influence region problems. These problems are related to the simultaneous influence, or the capacity to attract customers, of two sets of facilities of different types. For instance, while a facility of the first type competes with the other facilities of the first type, it cooperates with several facilities of the second type. The problems studied can be applied, for example, to decision-making support systems for marketing and/or locating facilities. We present parallel algorithms, to be run on a Graphics Processing Unit, for approximately solving the problems considered here. We also provide experimental results and discuss the efficiency and scalability of our approach. Finally, we present the speedup ratios obtained when the running times of the parallel proposed algorithms using a GPU are compared with those obtained from their respective efficient sequential CPU versions

The authors are partially supported by the Spanish Ministerio de Economia y Competitividad Grant TIN2013-47137-C2-2-P

© Information Sciences, 2015, vol. 321, p. 116-135

Elsevier

Author: Fort, Marta
Sellarès i Chiva, Joan Antoni
Date: 2015
Abstract: In this paper we propose and solve common influence region problems. These problems are related to the simultaneous influence, or the capacity to attract customers, of two sets of facilities of different types. For instance, while a facility of the first type competes with the other facilities of the first type, it cooperates with several facilities of the second type. The problems studied can be applied, for example, to decision-making support systems for marketing and/or locating facilities. We present parallel algorithms, to be run on a Graphics Processing Unit, for approximately solving the problems considered here. We also provide experimental results and discuss the efficiency and scalability of our approach. Finally, we present the speedup ratios obtained when the running times of the parallel proposed algorithms using a GPU are compared with those obtained from their respective efficient sequential CPU versions
The authors are partially supported by the Spanish Ministerio de Economia y Competitividad Grant TIN2013-47137-C2-2-P
Format: application/pdf
ISSN: 0020-0255
Document access: http://hdl.handle.net/10256/11322
Language: eng
Publisher: Elsevier
Collection: MINECO/PE 2014-2015/TIN2013-47137-C2-2-P
Reproducció digital del document publicat a: http://dx.doi.org/10.1016/j.ins.2015.05.038
Articles publicats (D-IMA)
Is part of: © Information Sciences, 2015, vol. 321, p. 116-135
Rights: Tots els drets reservats
Subject: Algorismes paral·lels
Parallel algorithms
Title: Common influence region problems
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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