A cooperative coevolution-based pittsburgh learning classifier system embedded with memetic feature selection

2011 IEEE Congress of Evolutionary Computation, CEC 2011

Volumn , Issue , 2011, Pages 2415-2422

  Wen, Yun ^a   Xu, Hua ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK DATA; CLASSIFICATION MODELS; CLASSIFICATION TASKS; COOPERATIVE CO-EVOLUTION; DIVIDE AND CONQUER; EMPIRICAL RESULTS; FEATURE SELECTION ALGORITHM; FEATURE SUBSET; FITNESS EVALUATIONS; GENETIC-BASED MACHINE LEARNING; LEARNING CLASSIFIER SYSTEM; MEMETIC; NON-PARAMETRIC STATISTICAL TESTS; PITTSBURGH; PREDICTION ACCURACY; REDUCTION TECHNIQUES; RULE SET; UCI REPOSITORY;

BIOLOGY; COMPUTATIONAL EFFICIENCY; DATA REDUCTION; STATISTICAL TESTS;

FEATURE EXTRACTION;

EID: 80051980112     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2011.5949916     Document Type: Conference Paper

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