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 language | English |
|---|---|
| Pages (from-to) | 24-31 |
| Number of pages | 8 |
| Journal | Journal of Software |
| Volume | 1 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2006 Jan 1 |
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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 journal › Article
}
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 - 2006/1/1
Y1 - 2006/1/1
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 - http://www.scopus.com/inward/record.url?scp=34248198062&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34248198062&partnerID=8YFLogxK
U2 - 10.4304/jsw.1.3.24-31
DO - 10.4304/jsw.1.3.24-31
M3 - Article
AN - SCOPUS:34248198062
VL - 1
SP - 24
EP - 31
JO - Journal of Software
JF - Journal of Software
SN - 1796-217X
IS - 3
ER -