A model based on ant colony system and rough set theory to feature selection

GECCO 2005 - Genetic and Evolutionary Computation Conference

Volumn , Issue , 2005, Pages 275-276

  Bello, R ^a   Nowe, A ^b   Caballero, Y ^c   Gomez Y ^a   Vrancx, P ^b  

^a CENTRAL UNIVERSITY OF LAS VILLAS   (Cuba)

^b VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

^c UNIVERSIDAD DE CAMAGÜEY   (Cuba)

Author keywords

ACO meta heuristic; Feature selection; Reducts; Rough set theory

Indexed keywords

ALGORITHMS; HEURISTIC METHODS; ROUGH SET THEORY;

ACO META-HEURISTIC; ANT COLONY SYSTEM ALGORITHM; FEATURE SELECTION;

FEATURE EXTRACTION;

EID: 32444431723     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1068009.1068053     Document Type: Conference Paper

References (6)

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3. Mühlenbein H. The equation for the response to selection and its use for prediction, Evolutionary Computation 5(3), pp. 303-346, 1998.
4. Pawlak, Z. Rough sets. International Journal of Information & Computer Sciences 11, 341-356, 1982.
5. Santiesteban, Yovanis; Pons, Aurora. LEX: LEX: a new algorithm to calculate typical testers. Mathematics Sciences Journal, Vol. 21, No. 1, 2003.
6. Wroblewski, J. Genetic algorithms in decomposition and classification problems. In Polkowski, L. and Skowron, A. (Eds.). Rough sets in Knowledge Discovery 1: Applications, Case Studies and Software Systems. Physica-Verlag, pp. 472-492. 1998