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A discrete Particle Swarm Optimization Algorithm for Mobile Network Deployment Problems

Authors: J. Plaza-Laina; J. Del Ser; Antonio Portilla-Figueras; P. Garcia-Diaz; Sancho Salcedo-Sanz;

A discrete Particle Swarm Optimization Algorithm for Mobile Network Deployment Problems

Abstract

In this paper we present a hybrid discrete Particle Swarm Optimization (PSO) algorithm for the Mobile Network Deployment Problem (MNDP). First, we fully describe the MNDP, including a term for taking into account the Electromagnetic field produced by new locations of BTSs. We also describe the proposed PSO algorithm and some variations incorporated in order to cope with discrete search spaces, such as the one in the MNDP. We finally show the performance of the proposed discrete PSO in a real MNDP in a Spanish city near Madrid: Alcala de Henares.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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