Multi-objective feature selection with NSGA II

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4431 LNCS, Issue PART 1, 2007, Pages 240-247

  Hamdani, Tarek M ^a   Won, Jin Myung ^b   Alimi, Adel M ^a   Karray, Fakhri ^b  

^a UNIVERSITY OF SFAX   (Tunisia)

^b UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); CONVERGENCE OF NUMERICAL METHODS; DATABASE SYSTEMS; ERROR ANALYSIS; PATTERN RECOGNITION;

MULTIOBJECTIVE ASPECTS; OPTIMAL SOLUTIONS; UCI REPOSITORY;

PROBLEM SOLVING;

EID: 38049062940     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-71618-1_27     Document Type: Conference Paper

References (16)

1. Dash M. and Liu H., "Feature Selection for Classification," Intelligent Data Analysis 1, pp. 131-156, 1997.
2. Kim G., and Kim S., "Feature Selection Using Genetic Algorithms for Handwritten character Recognition," 7th Int'l Workshop on Frontiers in Handwriting Recognition, pp. 103-112, Amsterdam, 2000.
3. Oh, I-S., Lee, J-S., and Moon, B-R., "Hybrid Genetic Algorithms for Feature Selection," IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 26, No. 11, November 2004.
4. Hamdani M.T., Alimi M.A., and Karray F., "Distributed Genetic Algorithm with Bi-Coded Chromosomes and a New Evaluation Function for Features Selection," Proc. IEEE Congress on Evolutionary Computation, pp. 2596-2603, 2006.
5. Cvetkovic, D., Parmee, I.C., "Preferences and their application in evolutionary multiobjective optimization," Evolutionary Computation, IEEE Transactions on, Volume 6, Issue 1, pp. 42-57, Feb. 2002.
6. Zitzler, E., Thiele, L., Laumanns, M., Fonseca, C.M., da Fonseca, V.G., "Performance assessment of multiobjective optimizers: an analysis and review," Evolutionary Computation, IEEE Transactions on, Vol 7, Issue 2, pp: 117-132, April 2003.
7. Morita, M., Oliveira, L.S., Sabourin, R., "Unsupervised feature selection for ensemble of classifiers," Frontiers in Handwriting Recognition, 2004. IWFHR-9 2004. Ninth International Workshop on, pp. 81-86, 26-29 Oct. 2004.
8. Morita, M., Sabourin, R., Bortolozzi, F., Suen, C.Y., "Unsupervised feature selection using multi-objective genetic algorithms for handwritten word recognition," Document Analysis and Recognition, 2003. Proceedings. Seventh International Conference on, pp: 666-670, 3-6 Aug. 2003.
9. Zio, E., Baraldi, P., Pedroni, N., "Selecting features nuclear transients classification by means of genetic algorithms," Nuclear Science, IEEE Transactions on, Vol 53, Issue 3, Part 3, pp: 1479-1493, June 2006.
10. Devogelaere, D., Rijckaert, M., "Scalars, a way to improve the multi-objective prediction of the GAdC-method," Neural Networks, 2000. Proceedings. Sixth Brazilian Symposium on, pp. 56-60, 22-25 Nov. 2000.
11. Lac, H.C., Stacey, D.A., "Feature subset selection via multi-objective genetic algorithm," Neural Networks, 2005. IJCNN'05. Proceedings. 2005 IEEE International Joint Conference on, Vol 3, pp. 1349-1354, 31 July - 4 Aug. 2005.
12. Oliveira, L.S.; Sabourin, R.; Bortolozzi, F.; Suen, C.Y., "Feature selection using multi-objective genetic algorithms for handwritten digit recognition," Pattern Recognition, 2002. Proceedings. 16th International Conference on. Vol 1, pp: 568-571, 11-15 Aug. 2002.
13. Srinivas, N., and Deb, K., "Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms," Journal of Evolutionary Computation, Vol. 2, No. 3, pp. 221-248, 1998.
14. Oliveira, L.S., Sabourin, R., Bortolozzi, F., Suen, C.Y., "Feature selection for ensembles: a hierarchical multi-objective genetic algorithm approach," Document Analysis and Recognition, 2003. Proceedings. Seventh International Conference on, pp. 676-680, 3-6 Aug. 2003.
15. Deb, K., Pratap, A., Agarwal, S., Meyarivan, T., "A fast and elitist multiobjective genetic algorithm: NSGA-II," Evolutionary Computation, IEEE Transactions on, Volume 6, Issue 2, pp. 182-197, April 2002.
16. Newman D.J., Hettich S., Blake C.L., and Merz C.J., "UCI Repository of machine learning databases" [http://www.ics.uci.edu/~mlearn/ MLRepository.html]. Irvine, CA: University of California, Department of Information and Computer Science, 1998.