Hybrid genetic algorithm for design of robust communication systems

Chien Min Ou; Jing Jhih Chen; Wen Jyi Hwang

doi:10.4304/jsw.1.3.24-31

Hybrid genetic algorithm for design of robust communication systems

Chien Min Ou^*
, Jing Jhih Chen
, Wen Jyi Hwang

^*此作品的通信作者

資訊工程學系

研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

2 引文斯高帕斯（Scopus）

摘要

A novel hybrid genetic algorithm (GA) for jointly optimizing source and channel codes is presented in this paper. The algorithm first uses GA for the coarse search of source and channel codes. An iterative search is then followed for the refinement of the coarse search. The hybrid GA enhances the robustness of the design of source and channel codes. The distributed GA scheme can also be used in conjunction with the proposed hybrid GA algorithm for further performance improvement.

原文	英語
頁（從 - 到）	24-31
頁數	8
期刊	Journal of Software
卷	1
發行號	3
DOIs	https://doi.org/10.4304/jsw.1.3.24-31
出版狀態	已發佈 - 2006 9月

ASJC Scopus subject areas

軟體
人機介面
人工智慧

存取文件

10.4304/jsw.1.3.24-31

其它文件與鏈接

引用此

@article{7c60fbf740d8401b9220567760db6c0c,

title = "Hybrid genetic algorithm for design of robust communication systems",

abstract = "A novel hybrid genetic algorithm (GA) for jointly optimizing source and channel codes is presented in this paper. The algorithm first uses GA for the coarse search of source and channel codes. An iterative search is then followed for the refinement of the coarse search. The hybrid GA enhances the robustness of the design of source and channel codes. The distributed GA scheme can also be used in conjunction with the proposed hybrid GA algorithm for further performance improvement.",

keywords = "Error correct coding, Genetic algorithm, Vector quantization",

author = "Ou, \{Chien Min\} and Chen, \{Jing Jhih\} and Hwang, \{Wen Jyi\}",

year = "2006",

month = sep,

doi = "10.4304/jsw.1.3.24-31",

language = "English",

volume = "1",

pages = "24--31",

journal = "Journal of Software",

issn = "1796-217X",

publisher = "Academy Publisher",

number = "3",

}

TY - JOUR

T1 - Hybrid genetic algorithm for design of robust communication systems

AU - Ou, Chien Min

AU - Chen, Jing Jhih

AU - Hwang, Wen Jyi

PY - 2006/9

Y1 - 2006/9

N2 - A novel hybrid genetic algorithm (GA) for jointly optimizing source and channel codes is presented in this paper. The algorithm first uses GA for the coarse search of source and channel codes. An iterative search is then followed for the refinement of the coarse search. The hybrid GA enhances the robustness of the design of source and channel codes. The distributed GA scheme can also be used in conjunction with the proposed hybrid GA algorithm for further performance improvement.

AB - A novel hybrid genetic algorithm (GA) for jointly optimizing source and channel codes is presented in this paper. The algorithm first uses GA for the coarse search of source and channel codes. An iterative search is then followed for the refinement of the coarse search. The hybrid GA enhances the robustness of the design of source and channel codes. The distributed GA scheme can also be used in conjunction with the proposed hybrid GA algorithm for further performance improvement.

KW - Error correct coding

KW - Genetic algorithm

KW - Vector quantization

UR - https://www.scopus.com/pages/publications/34248198062

UR - https://www.scopus.com/pages/publications/34248198062#tab=citedBy

U2 - 10.4304/jsw.1.3.24-31

DO - 10.4304/jsw.1.3.24-31

M3 - Article

AN - SCOPUS:34248198062

SN - 1796-217X

VL - 1

SP - 24

EP - 31

JO - Journal of Software

JF - Journal of Software

IS - 3

ER -

Hybrid genetic algorithm for design of robust communication systems

摘要

ASJC Scopus subject areas

存取文件

其它文件與鏈接

指紋

引用此