An Improved Particle Swarm Optimization for Feature Selection

Particle Swarm Optimization (PSO) is a popular and bionic algorithm based on the social behavior associated with bird flocking for optimization problems. To maintain the diversity of swarms, a few studies of multi-swarm strategy have been reported. However, the competition among swarms, reservation...

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Bibliographic Details
Published in:	Journal of bionics engineering Vol. 8; no. 2; pp. 191 - 200
Main Authors:	Liu, Yuanning, Wang, Gang, Chen, Huiling, Dong, Hao, Zhu, Xiaodong, Wang, Sujing
Format:	Journal Article
Language:	English
Published:	Singapore Elsevier Ltd 01.06.2011 Springer Singapore
Subjects:	Artificial Intelligence Biochemical Engineering Bioinformatics Biomaterials Biomedical Engineering and Bioengineering Biomedical Engineering/Biotechnology Bionics Competition data mining Engineering feature selection Genetic algorithms IFS方法 Mathematical models Optimization particle swarm optimization PSO Searching Support vector machines 优化问题功能选择支持向量机特征选择社会行为粒子群优化 support vector machines particle swarm optimization data mining feature selection
ISSN:	1672-6529, 2543-2141
Online Access:	Get full text
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