A survey on particle swarm optimization in feature selection

Communications in Computer and Information Science

Volumn 270 CCIS, Issue PART II, 2012, Pages 192-201

  Kothari, Vipul ^a   Anuradha, J ^a   Shah, Shreyak ^a   Mittal, Prerit ^a  

^a VIT UNIVERSITY   (India)

Author keywords

Feature Selection (FS); Particle swarm optimization (PSO); Support Vector Machine (SVM)

Indexed keywords

FLOCK OF BIRDS; INCONSISTENT INFORMATION; POTENTIAL PROBLEMS; PROBLEM SPACE;

FEATURE EXTRACTION; INFORMATION SYSTEMS; SUPPORT VECTOR MACHINES;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84865988461     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-29216-3_22     Document Type: Conference Paper

References (17)

1. Babazadeh, A., Poorzahedy, H., Nikoosokhan, S.: On Application of particle swarm optimization to transportation network design problem. Journal of King Saud University - Science 23, 293-300 (2011)
2. Bae, C., Yeh, W.-C., Chung, Y.Y., Liu, S.L.: Feature selection with intelligent dynamic swarm and rough set. Expert System with Application (2010)
3. Chitsaz, E., Taheri, M., Katebi, S.D., Jahromi, M.Z.: An Improved Fuzzy Feature Clustering and Selection based on Chi-Squared-Test. In: Proceedings of the International MultiConference of Engineers and Computer Scientists, IMECS 2009, Hong Kong, vol. I (2009)
4. Chung, L.- Y., Chang, H.- W., Tu, C.J., Yang, C.- H.: Improved binary PSO for feature selection using gene expression data. Computational Biology and Chemistry (2007)
5. Firpi, H.A., Goodman, E.: Swarmed Feature Selection. In: Proceedings of the 33rd Applied Imagery Pattern Recognition Workshop (AIPR 2004), pp. 1550-5219. IEEE (2004)
6. Gómez, Y., Bello, R., Puris, A., García, M.M.: Two Step Swarm Intelligence to Solve the Feature Selection Problem. Journal of Universal Computer Science 14(15), 2582-2596 (2008); submitted: 18/2/08, accepted: 30/6/08, appeared: 1/8/08
7. Zhang-Guoa, W., Ya-Lia, K., Zhea, L., Chang-Shengb, S.: Model of coal product structure based on particle swarm optimization algorithm. In: The 6th International Conference on Mining Science & Technology (2009)
8. Hang, C.-L., Dun, J.-F.: A distributed PSO-SVM hybrid system with feature selection and parameter optimization. Applied soft computing(2007)
9. Kalyani, S., Swarup, K.S.: Classifier design for static security assessment using particle swarm optimization (2009)
10. Nearchou, A.C.: On Maximizing production rate and workload smoothing in assembly lines using particle swarm optimization. Int. J. Production Economics 129, 242-250 (2011)
11. Qasem, S.N., Shamsuddin, S.M.: Radial basis function network based on time variant multi-objective particle swarm optimization for medical diseases diagnosis (2010)
12. Ramadan, R.M., Kader, R.F.A.: Face Recognition Using Particle Swarm Optimization-Based Selected Features. International Journal of Signal Processing, Image Processing and Pattern Recognition 2(2) (June 2009)
13. Ranaee, V., Ebrahimzadeh, A., Ghaderi, R.: Application of the PSO-SVM model for recognization of control chart patterns (2010)
14. Tu, C.-J., Chuang, L.-Y., Chang, J.-Y., Yang, C.-H., Iaeng.: Feature Selection using PSOSVM. IAENG International Journal of Computer Science, IJCS 33(1), -33-1-18
15. Unler, A., Murad, A.: Discrete particle swarm optimization method for feature selection in binary classification problems. European Journal of Operational Research (February 2010)
16. Wang, X., Yang, J., Teng, X., Xia, W., Jensen, R.: Feature Selection based on Rough Sets and Particle Swarm Optimization
17. Zahran, B.M., Kanaan, G.: Text Feature Selection using Particle Swarm Optimization Algorithm. World Applied Sciences Journal 7 (special Issue of Computer & IT), 69-74 (2009)