Cooperative extended rough attribute reduction algorithm based on improved PSO

Journal of Systems Engineering and Electronics

Volumn 23, Issue 1, 2012, Pages 160-166

  Ding, Weiping ^a,b   Wang, Jiandong ^a   Guan, Zhijin ^b  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

^b NANTONG UNIVERSITY   (China)

Author keywords

Cooperative evolutionary strategy; Extended attribute reduction; Fitness function; Particle swarm optimization (PSO); Rough set

Indexed keywords

ATTRIBUTE REDUCTION; ATTRIBUTE REDUCTION ALGORITHM; BENCHMARK FUNCTIONS; CONVERGENCE SPEED; COOPERATIVE EVOLUTIONARY; DATA SETS; FITNESS FUNCTIONS; HARD PROBLEMS; IMPROVED PSO; OPTIMIZATION PROBLEMS; ROUGH SET; UNIVERSITY OF CALIFORNIA;

DECISION TABLES; HEURISTIC ALGORITHMS; PARTICLE SWARM OPTIMIZATION (PSO);

ROUGH SET THEORY;

EID: 84863169098     PISSN: 10044132     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSEE.2012.00020     Document Type: Article

References (19)

1. Z. Pawlak. Rough sets. International Journal of Computer and Information Sciences, 1982, 11(5):341-356.
2. W. Ziarko. Variable precision rough set model. Journal of Computer and System Science, 1993, 46(1):39-59. (Pubitemid 23639120)
3. S. K. M. Wong, W. Ziarko. On optimal decision rules in decision tables. Bulletin of Polish Academy of Science, 1985, 33(11):693-696.
4. J. Kennedy, R. C. Eberhart. Particle swarm optimization. Proc. of the IEEE International Conference on Neural Networks, 1995:1942-1948.
5. Y. Shi, R. C. Eberhart. A modified particle swarm optimizer. Proc. of the IEEE International Conference on Evolutionary Computation, 1998:69-73.
6. J. L. Fernandez Martínez, E. García Gonzalo. The PSO family: deduction, stochastic analysis and comparison. Swarm Intelligent, 2009, 3(4):245-273.
7. X. Y. Wang, J. Yang, X. L. Teng, et al. Feature selection based on rough sets and particle swarm optimization. Pattern Recognition Letters, 2007, 28(4):459-471. (Pubitemid 44920436)
8. L. Nanni, A. Lumini. Particle swarm optimization for prototype reduction. Neurocomputing, 2009, 72(4/6):1092-1097.
9. B. X. Yue, W. H. Yao, A. Abraham, et al. A new rough set reduct algorithm based on particle swarm optimization. Proc. of the 2nd International Work-Conference on the Interplay between Natural and Artificial Computation, 2007:397-406.
10. B. Alatas, E. Akin. Rough particle swarm optimization and its applications in data mining. Soft Computing, 2008, 12(12):1205-1218.
11. R. W. Swiniarski, A. Swiniarski, S. Andrzej. Rough set methods in feature selection and recognition. Pattern Recognition Letters, 2003, 24(6):833-849. (Pubitemid 35391801)
12. C. Bae, W. C. Yeh, Y. Y. Chung, et al. Feature selection with intelligent dynamic swarm and rough set. Expert Systems with Applications, 2010, 37(10):7026-7032.
13. J. Stefanowski, A. Tsoukias. Incomplete information tables and rough classification. Computational Intelligence, 2001, 17(3):545-566. (Pubitemid 32934021)
14. J. Y. Liang, J. H. Wang, Y. H. Qian. A new measure of uncertainty based on knowledge granulation for rough sets. Information Sciences, 2009, 179(4):458-470.
15. S. Janson, M. Middendorf. A hierarchical particle swarm optimizer and its adaptive variant. IEEE Trans. on Systems, Man, and Cybernetics-Part B: Cybernetics, 2005, 35(6):1272-1282. (Pubitemid 41800425)
16. Y. Shi, R. C. Eberhart. A modified particle swarm optimizer. Proc. of The IEEE International Conference on Evolutionary Computation, 1998:69-73.
17. J. J. Liang, A. K. Qin. Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. IEEE Trans. on Evolutionary Computing, 2006, 10(3):281-295. (Pubitemid 43821759)
18. F. Bergh, A. P. Engelbrecht. A cooperative approach to particle swarm optimization. IEEE Trans. on Evolutionary Computation, 2004, 8(3):225-239.
19. A. Asuncion, D. J. Newman. UCI repository of machine learning databases. http://www.ics.uci.edu/mleam/MLRepository.html.