Codebook design using improved particle swarm optimization based on selection probability of artificial bee colony algorithm

被引：2

作者：

浦灵敏 ^{[1
]}

胡宏梅 ^{[1
]}

机构：

[1] Chien-shiung Institute of Technology

来源：

Journal of Chongqing University(English Edition) | 2014年 / 13卷 / 03期

关键词：

vector quantization; codebook design; particle swarm optimization; artificial bee colony algorithm;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the paper, a new selection probability inspired by artificial bee colony algorithm is introduced into standard particle swarm optimization by improving the global extremum updating condition to enhance the capability of its overall situation search. The experiment result shows that the new scheme is more valuable and effective than other schemes in the convergence of codebook design and the performance of codebook, and it can avoid the premature phenomenon of the particles.

引用

页码：90 / 98

页数：9

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