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Volumn 5572 LNAI, Issue , 2009, Pages 557-564

A first study on the use of coevolutionary algorithms for instance and feature selection

Author keywords

[No Author keywords available]

Indexed keywords

CO-EVOLUTIONARY ALGORITHM; COMBINATORIAL PROBLEM; COOPERATIVE CO-EVOLUTION; EVOLUTIONARY APPROACH; EVOLUTIONARY COMPUTATIONS; FEATURE SELECTION; INSTANCE SELECTION; NEAREST NEIGHBOURS METHOD; NON-COOPERATIVE; NON-PARAMETRIC STATISTICAL TESTS;

EID: 70350655272     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02319-4_67     Document Type: Conference Paper
Times cited : (73)

References (22)
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    • Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning
    • Technical report, Pittsburgh, PA, USA
    • Baluja, S.: Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning. Technical report, Pittsburgh, PA, USA (1994)
    • (1994)
    • Baluja, S.1
  • 2
    • 0347763609 scopus 로고    scopus 로고
    • Using evolutionary algorithms as instance selection for data reduction in KDD: An experimental study
    • Cano, J.R., Herrera, F., Lozano, M.: Using evolutionary algorithms as instance selection for data reduction in KDD: An experimental study. IEEE Transactions on Evolutionary Computation 7, 561-575 (2003)
    • (2003) IEEE Transactions on Evolutionary Computation , vol.7 , pp. 561-575
    • Cano, J.R.1    Herrera, F.2    Lozano, M.3
  • 4
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • Demšar, J.: Statistical comparisons of classifiers over multiple data sets. Journal of Machine Learning Research 7, 1-30 (2006)
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1-30
    • Demšar, J.1
  • 6
    • 0001334115 scopus 로고
    • The CHC adaptative search algorithm: How to safe search when engaging in nontraditional genetic recombination
    • Eshelman, L.J.: The CHC adaptative search algorithm: How to safe search when engaging in nontraditional genetic recombination. In: Foundations of Genetic Algorithms, pp. 265-283 (1990)
    • (1990) Foundations of Genetic Algorithms , pp. 265-283
    • Eshelman, L.J.1
  • 17
    • 0034153728 scopus 로고    scopus 로고
    • Cooperative coevolution: An architecture for evolving coadapted subcomponents
    • Potter, M.A., De Jong, K.A.: Cooperative coevolution: an architecture for evolving coadapted subcomponents. Evolutionary Computation 8, 1-29 (2000)
    • (2000) Evolutionary Computation , vol.8 , pp. 1-29
    • Potter, M.A.1    De Jong, K.A.2
  • 20
    • 0003389370 scopus 로고
    • The GENITOR Algorithm and selective preasure: Why Rank Based Allocation of Reproductive Trials is Best
    • Whitley, D.: The GENITOR Algorithm and selective preasure: Why Rank Based Allocation of Reproductive Trials is Best. Genetic Algorithms, 116-121 (1989)
    • (1989) Genetic Algorithms , pp. 116-121
    • Whitley, D.1
  • 21
    • 10444261979 scopus 로고    scopus 로고
    • The Cooperative Coevolutionary (1+1) EA
    • Jansen, T., Wiegand, R.P.: The Cooperative Coevolutionary (1+1) EA. Evolutionary Computation 12, 405-434 (2004)
    • (2004) Evolutionary Computation , vol.12 , pp. 405-434
    • Jansen, T.1    Wiegand, R.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.