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Volumn 17, Issue 8, 1996, Pages 825-832

In search of optimal clusters using genetic algorithms

Author keywords

Clustering; Genetic algorithms; K means; Pattern recognition

Indexed keywords

GENETIC ALGORITHMS; PROBLEM SOLVING; STATISTICAL METHODS;

EID: 0030189865     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/0167-8655(96)00043-8     Document Type: Article
Times cited : (275)

References (17)
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    • Bornholdt, S. and D. Graudenz (1992). Genetic asymptotic and neural networks and structure design by genetic algorithms. Neural Networks 5, 327-334.
    • (1992) Neural Networks , vol.5 , pp. 327-334
    • Bornholdt, S.1    Graudenz, D.2
  • 6
    • 0000392461 scopus 로고
    • A simulated annealing like convergence theory for the simple genetic algorithm
    • Davis, T.E. and C.J. Principe (1991). A simulated annealing like convergence theory for the simple genetic algorithm. In: (Belew and Booker, 1991), 174-181.
    • (1991) Belew and Booker, 1991 , pp. 174-181
    • Davis, T.E.1    Principe, C.J.2
  • 11
    • 0001789719 scopus 로고
    • Solving partitioning problems with genetic algorithms
    • Jones, D.R. and M.A. Beltramo (1991). Solving partitioning problems with genetic algorithms. In: (Belew and Booker, 1991), 442-449.
    • (1991) Belew and Booker, 1991 , pp. 442-449
    • Jones, D.R.1    Beltramo, M.A.2
  • 13
    • 0042608990 scopus 로고    scopus 로고
    • Epsilon optimal stopping time for genetic algorithms with Elitist model
    • Submitted
    • Murthy, C.A., D. Bhandari and S.K. Pal (1996). Epsilon optimal stopping time for genetic algorithms with Elitist model. IEEE Trans. Syst. Man Cybernet., Submitted.
    • (1996) IEEE Trans. Syst. Man Cybernet.
    • Murthy, C.A.1    Bhandari, D.2    Pal, S.K.3
  • 14
    • 0021202650 scopus 로고
    • K-means type algorithms: A generalized convergence theorem and characterization of local optimality
    • Selim, S.Z. and M.A. Ismail (1984). K-means type algorithms: A generalized convergence theorem and characterization of local optimality. IEEE Trans. Pattern Anal. Mach. Intell. 6 (1), 81-87.
    • (1984) IEEE Trans. Pattern Anal. Mach. Intell. , vol.6 , Issue.1 , pp. 81-87
    • Selim, S.Z.1    Ismail, M.A.2
  • 17
    • 0028207766 scopus 로고
    • Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space, Pan I: Basic properties of selection and mutation
    • Qi, Xiaofeng and F. Palmieri (1994). Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space, Pan I: Basic properties of selection and mutation. IEEE Trans. Neural Networks 5 (1), 102-119.
    • (1994) IEEE Trans. Neural Networks , vol.5 , Issue.1 , pp. 102-119
    • Qi, X.1    Palmieri, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.