An improved particle swarm optimization (IPSO) algorithm is proposed to solve reliability problems in this paper. The IPSO designs two position updating strategies: In the early iterations, each particle flies and searches according to its own best experience with a large probability; in the late it
β¦ LIBER β¦
An Improved Particle Swarm Optimization for Feature Selection
β Scribed by Yuanning Liu; Gang Wang; Huiling Chen; Hao Dong; Xiaodong Zhu; Sujing Wang
- Publisher
- SciencePress (China)
- Year
- 2011
- Tongue
- English
- Weight
- 451 KB
- Volume
- 8
- Category
- Article
- ISSN
- 1672-6529
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
An improved particle swarm optimization
β
Peifeng Wu; Liqun Gao; Dexuan Zou; Steven Li
π
Article
π
2011
π
Elsevier Science
π
English
β 496 KB
Parameter determination and feature sele
β
Shih-Wei Lin; Shih-Chieh Chen; Wen-Jie Wu; Chih-Hsien Chen
π
Article
π
2009
π
Springer-Verlag
π
English
β 364 KB
An improved cooperative particle swarm o
β
Debao Chen; Chunxia Zhao; Haofeng Zhang
π
Article
π
2010
π
Springer-Verlag
π
English
β 882 KB
An Improved Particle Swarm Optimization
β
Jianbo Yu; Lifeng Xi; Shijin Wang
π
Article
π
2007
π
Springer US
π
English
β 371 KB
Tag SNP selection using particle swarm o
β
Li-Yeh Chuang; Cheng-San Yang; Chang-Hsuan Ho; Cheng-Hong Yang
π
Article
π
2009
π
American Institute of Chemical Engineers
π
English
β 762 KB
## Abstract Single nucleotide polymorphisms (SNPs) are the most abundant form of genetic variations amongst species. With the genomeβwide SNP discovery, many genomeβwide association studies are likely to identify multiple genetic variants that are associated with complex diseases. However, genotypi
An inertia-adaptive particle swarm syste
β
Sayan Ghosh; Swagatam Das; Debarati Kundu; Kaushik Suresh; B. K. Panigrahi; Zhih
π
Article
π
2010
π
Springer-Verlag
π
English
β 731 KB