A Coral Reefs Optimization algorithm for optimal mobile network deployment with electromagnetic pollution control criterion

S. Salcedo-Sanz*, P. García-Díaz, J. A. Portilla-Figueras, J. Del Ser, S. Gil-López

*Autor correspondiente de este trabajo

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

29 Citas (Scopus)

Resumen

In this paper we apply a novel meta-heuristic approach, the Coral Reefs Optimization (CRO) algorithm, to solve a Mobile Network Deployment Problem (MNDP), in which the control of the electromagnetic pollution plays an important role. The CRO is a new bio-inspired meta-heuristic algorithm based on the growing and evolution of coral reefs. The aim of this paper is therefore twofold: first of all, we study the performance of the CRO approach in a real hard optimization problem, and second, we solve an important problem in the field of telecommunications, including the minimization of electromagnetic pollution as a key concept in the problem. We show that the CRO is able to obtain excellent solutions to the MNDP in a real instance in Alcalá de Henares (Madrid, Spain), improving the results obtained by alternative algorithms such as Evolutionary, Particle Swarm Optimization or Harmony Search algorithms.

Idioma originalInglés
Páginas (desde-hasta)239-248
Número de páginas10
PublicaciónApplied Soft Computing Journal
Volumen24
DOI
EstadoPublicada - nov 2014

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