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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Veröffentlicht in:	Journal of bionics engineering Jg. 8; H. 2; S. 191 - 200
Hauptverfasser:	Liu, Yuanning, Wang, Gang, Chen, Huiling, Dong, Hao, Zhu, Xiaodong, Wang, Sujing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Elsevier Ltd 01.06.2011 Springer Singapore
Schlagworte:	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-Zugang:	Volltext
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