Hybrid genetic algorithm for design of robust communication systems

Chien Min Ou, Jing Jhih Chen, Wen Jyi Hwang

研究成果: 雜誌貢獻文章

1 引文 (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
1
發行號3
DOIs
出版狀態已發佈 - 2006 九月

指紋

Communication systems
Genetic algorithms
Parallel algorithms

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Artificial Intelligence

引用此文

Hybrid genetic algorithm for design of robust communication systems. / Ou, Chien Min; Chen, Jing Jhih; Hwang, Wen Jyi.

於: Journal of Software, 卷 1, 編號 3, 09.2006, p. 24-31.

研究成果: 雜誌貢獻文章

Ou, Chien Min ; Chen, Jing Jhih ; Hwang, Wen Jyi. / Hybrid genetic algorithm for design of robust communication systems. 於: Journal of Software. 2006 ; 卷 1, 編號 3. 頁 24-31.
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