Genetic vector quantizer design on reconfigurable hardware

Ting Kuan Lin, Hui Ya Li, Wen Jyi Hwang, Chien Min Ou, Sheng Kai Weng

研究成果: 書貢獻/報告類型會議論文篇章

5 引文 斯高帕斯(Scopus)

摘要

This paper presents a novel hardware architecture for genetic vector quantizer (VQ) design. The architecture is based on steady-state genetic algorithm (GA). It adopts a novel architecture based on shift registers for accelerating mutation and crossover operations while reducing area cost. It also uses a pipeline architecture for fitness evaluation. The proposed architecture has been embedded in a softcore CPU for physical performance measurement. Experimental results show that the proposed architecture is an effective alternative for VQ optimization attaining both high performance and low computational time.

原文英語
主出版物標題Simulated Evolution and Learning - 7th International Conference, SEAL 2008, Proceedings
頁面473-482
頁數10
5361 LNAI
DOIs
出版狀態已發佈 - 2008 十二月 1
事件7th International Conference on Simulated Evolution and Learning, SEAL 2008 - Melbourne, VIC, 澳大利亚
持續時間: 2008 十二月 72008 十二月 10

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5361 LNAI
ISSN(列印)0302-9743
ISSN(電子)1611-3349

其他

其他7th International Conference on Simulated Evolution and Learning, SEAL 2008
國家/地區澳大利亚
城市Melbourne, VIC
期間2008/12/072008/12/10

ASJC Scopus subject areas

  • 理論電腦科學
  • 電腦科學(全部)

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