Hybrid genetic algorithm for design of robust communication systems

Chien Min Ou, Jing Jhih Chen, Wen-Jyi Hwang

Research output: Contribution to journalArticle

1 Citation (Scopus)

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.

Original languageEnglish
Pages (from-to)24-31
Number of pages8
JournalJournal of Software
Volume1
Issue number3
DOIs
Publication statusPublished - 2006 Jan 1

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Communication systems
Genetic algorithms
Parallel algorithms

Keywords

  • Error correct coding
  • Genetic algorithm
  • Vector quantization

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Artificial Intelligence

Cite this

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

In: Journal of Software, Vol. 1, No. 3, 01.01.2006, p. 24-31.

Research output: Contribution to journalArticle

Ou, Chien Min ; Chen, Jing Jhih ; Hwang, Wen-Jyi. / Hybrid genetic algorithm for design of robust communication systems. In: Journal of Software. 2006 ; Vol. 1, No. 3. pp. 24-31.
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