Volume 1 Number 3 (Sep. 2006)
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JSW 2006 Vol.1(3): 24-31 ISSN: 1796-217X
doi: 10.4304/jsw.1.3.24-31

Hybrid Genetic Algorithm for Design of Robust Communication Systems

Chien-Min Ou1, Jing-Jhih Chen1, Wen-Jyi Hwang2
1Department of Electronics Engineering, Ching Yun University, Chungli, Taiwan 320, R.O.C.
2Graduate 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 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.

Index Terms—Vector Quantization, Genetic Algorithm, Error Correct Coding.


Cite: Chien-Min Ou, Jing-Jhih Chen, Wen-Jyi Hwang, " Hybrid Genetic Algorithm for Design of Robust Communication Systems," Journal of Software vol. 1, no. 3, pp. 24-31, 2006.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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