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Volumn 2, Issue , 2005, Pages 1141-1148

Multi-objective techniques in genetic programming for evolving classifiers

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COMPUTER PROGRAMMING; DATA REDUCTION; ERROR ANALYSIS; PARAMETER ESTIMATION; PROBLEM SOLVING; TUMORS;

EID: 27144544741     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (38)

References (17)
  • 4
    • 3543128792 scopus 로고    scopus 로고
    • Multi-objective methods for tree size control
    • Kluwer Academic Publishers
    • De Jong, E., Pollack, J. B.: Multi-Objective Methods for Tree Size Control. Genetic Programming and Evolvable Machines 4(3) 211-233. Kluwer Academic Publishers (2003)
    • (2003) Genetic Programming and Evolvable Machines , vol.4 , Issue.3 , pp. 211-233
    • De Jong, E.1    Pollack, J.B.2
  • 5
    • 0036530772 scopus 로고    scopus 로고
    • A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II
    • IEEE Press
    • Deb, K., Agrawal, S., Pratap, A., Meyarivan, T.: A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II. IEEE Transactions on Evolutionary Computation 6(2) 182-197. IEEE Press (2002).
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , Issue.2 , pp. 182-197
    • Deb, K.1    Agrawal, S.2    Pratap, A.3    Meyarivan, T.4
  • 7
    • 0002344899 scopus 로고    scopus 로고
    • A genetic programming frame-work for two data mining tasks: Classification and generalized rule induction
    • Morgan Kauffmann
    • Freitas, A.A.: A Genetic Programming Frame-work for Two Data Mining Tasks: Classification and Generalized Rule Induction. In Genetic Programming 1997: Proceedings of the Second Annual Conference. Morgan Kauffmann (1997) 96-101
    • (1997) Genetic Programming 1997: Proceedings of the Second Annual Conference , pp. 96-101
    • Freitas, A.A.1
  • 8
    • 0034199912 scopus 로고    scopus 로고
    • Approximating the nondominated front using the pareto archived evolutionary strategy
    • MIT Press
    • Knowles, J., Corne, D.: Approximating the Nondominated Front Using the Pareto Archived Evolutionary Strategy. Evolutionary Computation 8(2) 149-172. MIT Press (2000)
    • (2000) Evolutionary Computation , vol.8 , Issue.2 , pp. 149-172
    • Knowles, J.1    Corne, D.2
  • 11
    • 0036715683 scopus 로고    scopus 로고
    • Combining convergence and diversity in evolutionary multiobjective optimization
    • MIT Press
    • Laumanns, M., Thiele, L., Deb, K., Zitzler, E.: Combining convergence and diversity in evolutionary multiobjective optimization. Evolutionary Computation 10(3) 263-282. MIT Press (2002)
    • (2002) Evolutionary Computation , vol.10 , Issue.3 , pp. 263-282
    • Laumanns, M.1    Thiele, L.2    Deb, K.3    Zitzler, E.4
  • 17
    • 0004140075 scopus 로고    scopus 로고
    • SPEA2: Improving the strenth pareto evolutionary algorithm
    • Copmuter Engineering and Networks Laboratory (TIK), ETH Zurich, Switzerland
    • Zitzler, E., Laumanns, M., Thiele, L.: SPEA2: Improving the Strenth Pareto Evolutionary Algorithm. Technical Report 103, Copmuter Engineering and Networks Laboratory (TIK), ETH Zurich, Switzerland, 2001.
    • (2001) Technical Report , vol.103
    • Zitzler, E.1    Laumanns, M.2    Thiele, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.