Study on Fast Codeword Search Based on Improved Ant Colony Algorithm

Vector quantization technology is an efficient and competitive method for data compression, but it is not easy to be implemented because of the comparatively high computation complexity it requires during the coding and decoding process. This paper presents a method of Dual Population Ant Colony Alg...

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Bibliographic Details
Published in:Applied Mechanics and Materials Vol. 556-562; pp. 3768 - 3773
Main Authors: Zou, Da Yong, Wu, Wei
Format: Journal Article
Language:English
Published: Zurich Trans Tech Publications Ltd 01.05.2014
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ISBN:3038351156, 9783038351153
ISSN:1660-9336, 1662-7482, 1662-7482
Online Access:Get full text
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Summary:Vector quantization technology is an efficient and competitive method for data compression, but it is not easy to be implemented because of the comparatively high computation complexity it requires during the coding and decoding process. This paper presents a method of Dual Population Ant Colony Algorithm Codeword Quick Search (DPACAS), exploiting the mechanism of ant trace the optimal path through the pheromones remained, and the behavior pattern of making objects together by picking up and putting down them. It uses Parallel Ant Colony algorithm to sufficiently accelerate the convergence of the ant colony. When the scale of the codebook becomes larger, by setting parameters reasonably and exchanging the pheromones between two species, it broadens the search space, reduces the search time and improves the algorithmic global convergence effectively.
Bibliography:Selected, peer reviewed papers from the 2014 International Conference on Mechatronics Engineering and Computing Technology (ICMECT 2014), April 9-10, 2014, Shanghai, China
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ISBN:3038351156
9783038351153
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.556-562.3768