A hybrid estimation of distribution algorithm for CDMA cellular system design

Authors:
Jianyong Sun;Qingfu Zhang;Jin Li;Xin Yao
Affiliations:
Cercia, School of Computer Science, University of Birmingham, Edgbaston, Birmingham;Department of Computer Science, University of Essex, Wivenhoe Park;Cercia, School of Computer Science, University of Birmingham, Edgbaston, Birmingham;Cercia, School of Computer Science, University of Birmingham, Edgbaston, Birmingham
Venue:
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
Year:
2006

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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.