Hybrid genetic algorithm for design of robust communication systems

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


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
Issue number3
Publication statusPublished - 2006 Sept


  • Error correct coding
  • Genetic algorithm
  • Vector quantization

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Artificial Intelligence


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