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A multi-objective approach to the Channel Assignment Problem

descriptionPublicationkeyboard_double_arrow_right Article 01 Jun 2008Publisher:IEEEJournal:2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)
Authors: Jayrani Cheeneebash; Jose Antonio Lozano; Harry Coomar Shumsher Rughooputh;

doi: 10.1109/cec.2008.4631329

A multi-objective approach to the Channel Assignment Problem

Abstract

With the rapid growth of mobile communications, solving the channel assignment problem has now become a new challenge in research. In this paper, we present the channel assignment problem (CAP) from a multi-objective approach. From this new idea, the communication system can be easily managed in case of an unexpected rise in demand in some particular cells. We carry out the experiments with the Philadelphia problem.

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selected citations
These citations are derived from selected sources.
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!
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