@inproceedings{801f7c59b46f4f238ec5475c539041b2,
title = "Genetic vector quantizer design on reconfigurable hardware",
abstract = "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.",
author = "Lin, {Ting Kuan} and Li, {Hui Ya} and Hwang, {Wen Jyi} and Ou, {Chien Min} and Weng, {Sheng Kai}",
year = "2008",
doi = "10.1007/978-3-540-89694-4_48",
language = "English",
isbn = "3540896937",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "473--482",
booktitle = "Simulated Evolution and Learning - 7th International Conference, SEAL 2008, Proceedings",
note = "7th International Conference on Simulated Evolution and Learning, SEAL 2008 ; Conference date: 07-12-2008 Through 10-12-2008",
}