A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design

Jianyong Sun; Qingfu Zhang; Jin Li; Xin Yao

doi:10.1007/11903697_114

A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design

Jianyong Sun
, Qingfu Zhang
, Jin Li
, Xin Yao

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

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 language	English
Title of host publication	Simulated Evolution and Learning
Subtitle of host publication	6th International Conference, SEAL 2006, Hefei, China, October 15-18, 2006 : Proceedings
Editors	Tzai-Der Wang
Publisher	Springer Verlag
Pages	905-912
ISBN (Print)	3540473319, 9783540473312
DOIs	https://doi.org/10.1007/11903697_114
Publication status	Published - Oct 2006
Externally published	Yes
Event	6th International Conference Simulated Evolution and Learning (SEAL 2006) - Hefei, China Duration: 15 Oct 2006 → 18 Oct 2006

Publication series

Name	Lecture Notes in Computer Science
Volume	4247
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Conference Simulated Evolution and Learning (SEAL 2006)
Place	China
City	Hefei
Period	15/10/06 → 18/10/06

Research Keywords

CDMA cellular system configuration design
Hybrid estimation of distribution algorithm

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10.1007/11903697_114

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Sun, J., Zhang, Q., Li, J., & Yao, X. (2006). A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design. In T.-D. Wang (Ed.), Simulated Evolution and Learning: 6th International Conference, SEAL 2006, Hefei, China, October 15-18, 2006 : Proceedings (pp. 905-912). (Lecture Notes in Computer Science; Vol. 4247). Springer Verlag. https://doi.org/10.1007/11903697_114

@inproceedings{314b7815bfe5427392c548c50369ce95,

title = "A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design",

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.",

keywords = "CDMA cellular system configuration design, Hybrid estimation of distribution algorithm",

author = "Jianyong Sun and Qingfu Zhang and Jin Li and Xin Yao",

year = "2006",

month = oct,

doi = "10.1007/11903697\_114",

language = "English",

isbn = "3540473319",

series = "Lecture Notes in Computer Science",

publisher = "Springer Verlag",

pages = "905--912",

editor = "Tzai-Der Wang",

booktitle = "Simulated Evolution and Learning",

address = "Germany",

note = "6th International Conference Simulated Evolution and Learning (SEAL 2006) ; Conference date: 15-10-2006 Through 18-10-2006",

}

Sun, J, Zhang, Q, Li, J & Yao, X 2006, A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design. in T-D Wang (ed.), Simulated Evolution and Learning: 6th International Conference, SEAL 2006, Hefei, China, October 15-18, 2006 : Proceedings. Lecture Notes in Computer Science, vol. 4247, Springer Verlag, pp. 905-912, 6th International Conference Simulated Evolution and Learning (SEAL 2006), Hefei, China, 15/10/06. https://doi.org/10.1007/11903697_114

A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design. / Sun, Jianyong; Zhang, Qingfu; Li, Jin et al.
Simulated Evolution and Learning: 6th International Conference, SEAL 2006, Hefei, China, October 15-18, 2006 : Proceedings. ed. / Tzai-Der Wang. Springer Verlag, 2006. p. 905-912 (Lecture Notes in Computer Science; Vol. 4247).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design

AU - Sun, Jianyong

AU - Zhang, Qingfu

AU - Li, Jin

AU - Yao, Xin

PY - 2006/10

Y1 - 2006/10

N2 - 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.

AB - 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.

KW - CDMA cellular system configuration design

KW - Hybrid estimation of distribution algorithm

UR - https://www.scopus.com/pages/publications/33751363705

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-33751363705&origin=recordpage

U2 - 10.1007/11903697_114

DO - 10.1007/11903697_114

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 3540473319

SN - 9783540473312

T3 - Lecture Notes in Computer Science

SP - 905

EP - 912

BT - Simulated Evolution and Learning

A2 - Wang, Tzai-Der

PB - Springer Verlag

T2 - 6th International Conference Simulated Evolution and Learning (SEAL 2006)

Y2 - 15 October 2006 through 18 October 2006

ER -

A Hybrid Estimation of Distribution Algorithm for CDMA Cellular System Design

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