Volume 1 Number 3 (Sep. 2006)
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JSW 2006 Vol.1(3): 24-31
doi: 10.4304/jsw.1.3.24-31

Hybrid Genetic Algorithm for Design of Robust Communication Systems

Chien-Min Ou 1 , Jing-Jhih Chen 1 , Wen-Jyi Hwang 2

  • 1 Department of Electronics Engineering, Ching Yun University, Chungli, Taiwan 320, R.O.C.
  • 2 Graduate Institute of Computer Science and Information Engineering, National Taiwan Normal University, Taipei, Taiwan 117, R.O.C.

Abstract

A novel hybrid genetic algorithm (GA) for jointlyoptimizing source and channel codes is presented in thispaper. The algorithm first uses GA for the coarse search ofsource and channel codes. An iterative search is thenfollowed for the refinement of the coarse search. The hybridGA enhances the robustness of the design of source andchannel codes. The distributed GA scheme can also be usedin conjunction with the proposed hybrid GA algorithm forfurther performance improvement.

Keywords

  • Vector Quantization
  • Genetic Algorithm
  • E
jsw0103-03

How to Cite

Copied

Chien-Min Ou, Jing-Jhih Chen, and Wen-Jyi Hwang, "Hybrid Genetic Algorithm for Design of Robust Communication Systems," Journal of Software, vol. 1, no. 3, pp. 24-31, 2006. https://doi.org/ 10.4304/jsw.1.3.24-31

Copyright & License

Copyright © 2006 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • ISSN: 1796-217X (Online)

  • Abbreviated Title: J. Softw.

  • Frequency:  Biannually

  • APC: 500USD

  • DOI: 10.17706/JSW

  • Editor-in-Chief: Prof. Antanas Verikas

  • Executive Editor: Ms. Cecilia Xie

  • Abstracting/ Indexing: DBLP, CNKI, 

  • Google Scholar, ProQuest,
           INSPEC(IET), ULRICH's Periodicals
           Directory, WorldCat, etc

  • E-mail: editor@jsoftware.us

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