RT Journal Article
T1 A Coral Reefs Optimization algorithm for optimal mobile network deployment with electromagnetic pollution control criterion
A1 Salcedo-Sanz, S.
A1 García-Díaz, P.
A1 Portilla-Figueras, J. A.
A1 Del Ser, J.
A1 Gil-López, S.
AB 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.
SN 1568-4946
YR 2014
FD 2014-11
LA eng
NO Salcedo-Sanz , S , García-Díaz , P , Portilla-Figueras , J A , Del Ser , J & Gil-López , S 2014 , ' A Coral Reefs Optimization algorithm for optimal mobile network deployment with electromagnetic pollution control criterion ' , Applied Soft Computing Journal , vol. 24 , pp. 239-248 . https://doi.org/10.1016/j.asoc.2014.07.007
NO This work has been partially supported by Spanish Ministry of Science and Innovation , under project numbers ECO2010-22065-C03-02 and TEC2011-28250-C02-02 .
DS TECNALIA Publications
RD 1 sept 2024