Multi-objective feature selection in classification: A differential evolution approach

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

Volumn 8886, Issue , 2014, Pages 516-528

  Xue, Bing ^a   Fu, Wenlong ^a   Zhang, Mengjie ^a  

^a VICTORIA UNIVERSITY OF WELLINGTON   (New Zealand)

Author keywords

Classification; Differential evolution; Feature selection; Multi objective optimisation

Indexed keywords

ECONOMIC AND SOCIAL EFFECTS; ERRORS; EVOLUTIONARY ALGORITHMS; FEATURE EXTRACTION; MULTIOBJECTIVE OPTIMIZATION; OPTIMIZATION;

CLASSIFICATION ACCURACY; CLASSIFICATION ERROR RATE; CLASSIFICATION TASKS; CONFLICTING OBJECTIVES; CONVENTIONAL METHODS; DIFFERENTIAL EVOLUTION; MULTI OBJECTIVE ALGORITHM; PRE-PROCESSING STEP;

CLASSIFICATION (OF INFORMATION);

EID: 84921358838     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-13563-2_44     Document Type: Article

References (28)

1. Al-Ani, A., Alsukker, A., Khushaba, R.N.: Feature subset selection using differential evolution and a wheel based search strategy. Swarm and Evolutionary Computation 9, 15-26 (2013)
2. Cervante, L., Xue, B., Zhang, M., Shang, L.: Binary particle swarm optimisation for feature selection: A filter based approach. In: IEEE Congress on Evolutionary Computation (CEC 2012), pp. 881-888 (2012)
3. Chen, Y., Miao, D., Wang, R.: A rough set approach to feature selection based on ant colony optimization. Pattern Recognition Letters 31(3), 226-233 (2010)
4. Coello Coello, C., Veldhuizen, L.A.G., Evolutionary Algorithms, D.: Evolutionary Algorithms for SolvingMulti-Objective Problems. Genetic and Evolutionary Computation Series. Springer (2007)
5. Das, S., Suganthan, P.: Differential evolution: A survey of the state-of-the-art. IEEE Transactions on Evolutionary Computation 15(1), 4-31 (2011)
6. Dash, M., Liu, H.: Feature selection for classification. Intelligent Data Analysis 1(4), 131-156 (1997)
7. Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6(2), 182-197 (2002)
8. Fdhila, R., Hamdani, T., Alimi, A.: Distributed mopso with a new population subdivision technique for the feature selection. In: International Symposium on Computational Intelligence and Intelligent Informatics (ISCIII 2011), pp. 81-86 (2011)
9. Frank, A., Asuncion, A.: UCI machine learning repository (2010)
10. Gutlein, M., Frank, E., Hall, M., Karwath, A.: Large-scale attribute selection using wrappers. In: IEEE Symposium on Computational Intelligence and Data Mining, pp. 332-339 (2009)
11. Guyon, I., Elisseeff, A.: An introduction to variable and feature selection. The Journal of Machine Learning Research 3, 1157-1182 (2003)
12. Hamdani, T.M., Won, J.-M., Alimi, A.M., Karray, F.: Multi-objective feature selection with NSGA II. In: Beliczynski, B., Dzielinski, A., Iwanowski, M., Ribeiro, B. (eds.) ICANNGA 2007. LNCS, vol. 4431, pp. 240-247. Springer, Heidelberg (2007)
13. Hastie, T., Tibshirani, R., Friedman, J., Franklin, J.: The elements of statistical learning: data mining, inference and prediction. The Mathematical Intelligencer 27, 83-85 (2005)
14. He, X., Zhang, Q., Sun, N., Dong, Y.: Feature selection with discrete binary differential evolution. In: International Conference on Artificial Intelligence and Computational Intelligence (AICI 2009), vol. 4, pp. 327-330 (2009)
15. Kohavi, R., John, G.H.: Wrappers for feature subset selection. Artificial Intelligence 97, 273-324 (1997)
16. Marill, T., Green, D.: On the effectiveness of receptors in recognition systems. IEEE Transactions on Information Theory 9(1), 11-17 (1963)
17. Neshatian, K., Zhang, M.: Pareto front feature selection: using genetic programming to explore feature space. In: The 11th Annual Conference on Genetic and Evolutionary Computation (GECCO 2009), pp. 1027-1034 (2009)
18. Robič, T., Filipič, B.: DEMO: Differential evolution for multiobjective optimization. In: Coello Coello, C.A., Hernández Aguirre, A., Zitzler, E. (eds.) EMO 2005. LNCS, vol. 3410, pp. 520-533. Springer, Heidelberg (2005)
19. Storn, R.: On the usage of differential evolution for function optimization. In: 1996 Biennial Conference of the North American Fuzzy Information Processing Society (NAFIPS), pp. 519-523 (1996)
20. Storn, R., Price, K.: Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces. Journal of Global Optimization 11(4), 341-359 (1997)
21. Wang, L., Ni, H., Yang, R., Pappu, V., Fenn, M.B., Pardalos, P.M.: Feature selection based on meta-heuristics for biomedicine. Optimization Methods and Software, 1-17 (2013)
22. Xue, B., Cervante, L., Shang, L., Browne, W.N., Zhang, M.: A multi-objective particle swarm optimisation for filter based feature selection in classification problems. Connection Science 24(2-3), 91-116 (2012)
23. Xue, B., Cervante, L., Shang, L., Browne, W.N., Zhang, M.: Binary PSO and rough set theory for feature selection: A multi-objective filter based approach. International Journal of Computational Intelligence and Applications 13(02), 1450009 (2014)
24. Xue, B., Fu, W., Zhang, M.: Differential evolution (DE) for multi-objective feature selection in classification. In: Proceedings of the 2014 Conference Companion on Genetic and Evolutionary Computation Companion, GECCO Comp 2014, pp. 83-84 (2014)
25. Xue, B., Zhang, M., Browne, W.N.: Multi-objective particle swarm optimisation (PSO) for feature selection. In: Genetic and Evolutionary Computation Conference, pp. 81-88 (2012)
26. Xue, B., Zhang, M., Browne, W.N.: Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms. Applied Soft Computing (2013)
27. Xue, B., Zhang, M., Browne, W.N.: Particle swarm optimization for feature selection in classification: A multi-objective approach. IEEE Transactions on Cybernetics 43(6), 1656-1671 (2013)
28. Zhu, Z.X., Ong, Y.S., Dash, M.: Wrapper-filter feature selection algorithm using a memetic framework. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 37(1), 70-76 (2007)