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Volumn 2328, Issue , 2002, Pages 617-625

Genetic algorithms: Two different elitism operators for stochastic and deterministic applications

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER ARCHITECTURE; STOCHASTIC SYSTEMS;

EID: 84947587760     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48086-2_68     Document Type: Conference Paper
Times cited : (5)

References (16)
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    • Seijas, J.1    Sanz-González, J.L.2
  • 3
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    • Werbos, P: Backpropagation through time: what it does and how to do it. Proc. of IEEE, 1990, Vol.78, No.10 pp.1550-1560
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    • Werbos, P.1
  • 4
    • 0014757386 scopus 로고
    • A general method applicable to the search for similarities in the amino-acid sequence of two proteins
    • Needleman, S.B, Wunsch, C.D.: A general method applicable to the search for similarities in the amino-acid sequence of two proteins. Journal of Molecular Biology, 1970, Vol.48, pp.443-453.
    • (1970) Journal of Molecular Biology , vol.48 , pp. 443-453
    • Needleman, S.B.1    Wunsch, C.D.2
  • 5
    • 0002478051 scopus 로고
    • Shortcuts, Diversions and Maximal Chains in Partially Ordered Sets
    • Sankoff, D., Sellers, P.H.: Shortcuts, Diversions and Maximal Chains in Partially Ordered Sets. Discrete Math., 1973, Vol.4, pp.287-293.
    • (1973) Discrete Math. , vol.4 , pp. 287-293
    • Sankoff, D.1    Sellers, P.H.2
  • 6
    • 0001642687 scopus 로고
    • Some biological sequence metrices
    • Waterman, M.S., Smith, T.F., Beyer, W.A.: Some biological sequence metrices. Adv. Math., 1976, Vol.20, pp.367-387.
    • (1976) Adv. Math. , vol.20 , pp. 367-387
    • Waterman, M.S.1    Smith, T.F.2    Beyer, W.A.3
  • 7
    • 0020038367 scopus 로고
    • Pattern Recognition in Nucleic Acid Sequences. A General Method for Finding Local Homologies and Symmetry
    • Goad, W. Y, Kanehisa, M.I.: Pattern Recognition in Nucleic Acid Sequences. A General Method for Finding Local Homologies and Symmetry.Nucl. Acids Res., 1982, Vol.10, pp.247-263.
    • (1982) Nucl. Acids Res. , vol.10 , pp. 247-263
    • Goad, W.Y.1    Kanehisa, M.I.2
  • 9
    • 0009558195 scopus 로고
    • Algorithms for computing evolurtionary similarity measures with length independent gap penalties
    • Fredman, M.L.: Algorithms for computing evolurtionary similarity measures with length independent gap penalties. Bull. Math. Biol., 1984, Vol.46, pp.553-566.
    • (1984) Bull. Math. Biol. , vol.46 , pp. 553-566
    • Fredman, M.L.1
  • 10
    • 0023044227 scopus 로고
    • Alignment of three biological sequences with an efficient traceback procedure
    • Gotoh, O.: Alignment of three biological sequences with an efficient traceback procedure. J. theor. Biol., 1986, Vol.121, pp.327-337.
    • (1986) J. Theor. Biol. , vol.121 , pp. 327-337
    • Gotoh, O.1
  • 11
    • 0023084055 scopus 로고
    • Progressive sequence alignment as a prerequisite to correct phylogenetic trees
    • Feng, D.F., Doolittle, R.F.: Progressive sequence alignment as a prerequisite to correct phylogenetic trees. J. Molec. Evol., 1987, Vol.25, pp.351-360.
    • (1987) J. Molec. Evol. , vol.25 , pp. 351-360
    • Feng, D.F.1    Doolittle, R.F.2
  • 12
    • 4944223021 scopus 로고    scopus 로고
    • Genetic algorithms for DNA/RNA sequences comparison
    • The Society for Computer Simulation, Génova. Italia
    • Morató, C., Seijas, J.: Genetic algorithms for DNA/RNA sequences comparison. European Simulation Symposium (ESS’96). The Society for Computer Simulation, Génova. Italia, 1996.
    • (1996) European Simulation Symposium (ESS’96)
    • Morató, C.1    Seijas, J.2
  • 13
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    • An Enhanced Genetic Algorithm for Solving the High- Level Synthesis Problems of Scheduling, Allocation, and Binding
    • Grewal, G.W., Wilson, T.C.: An Enhanced Genetic Algorithm for Solving the High- Level Synthesis Problems of Scheduling, Allocation, and Binding. International Journal of Computational Intelligence and Applications, 2001, Vol.1, No.1, pp.91-110.
    • (2001) International Journal of Computational Intelligence and Applications , vol.1 , Issue.1 , pp. 91-110
    • Grewal, G.W.1    Wilson, T.C.2
  • 15
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    • Basic Evolutive Algorithms for Neural Networks Architecture Configuration and Training
    • Seattle, May
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    • Seijas, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.