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A hybrid estimation of distribution algorithm for CDMA cellular system design

  • University of Birmingham
  • University of Essex

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

While code division multiple access (CDMA) is becoming a promising cellular communication system, the design for a CDMA cellular system configuration has posed a practical challenge in optimisation. The study in this paper proposes a hybrid estimation of distribution algorithm (HyEDA) to optimize the design of a cellular system configuration. HyEDA is a two-stage hybrid approach built on estimation of distribution algorithms (EDAs), coupled with a K-means clustering method and a simple local search algorithm. Compared with the simulated annealing method on some test instances, HyEDA has demonstrated its superiority in terms of both the overall performance in optimisation and the number of fitness evaluations required.

Original languageEnglish
Title of host publicationSimulated Evolution and Learning - 6th International Conference, SEAL 2006, Proceedings
PublisherSpringer Verlag
Pages905-912
Number of pages8
ISBN (Print)3540473319, 9783540473312
DOIs
StatePublished - 2006
Externally publishedYes
Event6th International Conference Simulated Evolution and Learning, SEAL 2006 - Hefei, China
Duration: 15 Oct 200618 Oct 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4247 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference Simulated Evolution and Learning, SEAL 2006
Country/TerritoryChina
CityHefei
Period15/10/0618/10/06

Keywords

  • CDMA cellular system configuration design
  • Hybrid estimation of distribution algorithm

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