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Volumn 1447, Issue , 1998, Pages 95-102

GA-optimal fitness functions

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC PROGRAMMING;

EID: 84947715455     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0040763     Document Type: Conference Paper
Times cited : (5)

References (11)
  • 3
    • 0002651837 scopus 로고
    • An Overview of Evolutionary Algorithms for Parameter Optimization
    • T. Bäck and H-P Schwefel, "An Overview of Evolutionary Algorithms for Parameter Optimization", evolutionary computation, 1993, v.1, n. 1, pp. 1-24.
    • (1993) Evolutionary computation , vol.1 , Issue.1 , pp. 1-24
    • Bäck, T.1    Schwefel, H.-P.2
  • 6
    • 0003155122 scopus 로고
    • Fitness Distance Correlation as a Measure of Problem Difficulty for Genetic Algorithms
    • Santa Fe Inst. Tech Report, 95-02-022
    • T. Jones and S. Forrest, "Fitness Distance Correlation as a Measure of Problem Difficulty for Genetic Algorithms", Santa Fe Inst. Tech Report, 95-02-022. Presented at the Sixth International Conference on Genetic Algorithms, 1995.
    • (1995) Sixth International Conference on Genetic Algorithms
    • Jones, T.1    Forrest, S.2
  • 8
    • 44049112575 scopus 로고
    • Genetic Algorithms and Very Fast Simulated Reannealing: A Comparison
    • L. Ingber, "Genetic Algorithms and Very Fast Simulated Reannealing: A Comparison", Mathematical and Computer Modelling, v. 16, n. 11, 1992, pp. 87-100.
    • (1992) Mathematical and Computer Modelling , vol.16 , Issue.11 , pp. 87-100
    • Ingber, L.1
  • 9
    • 0000129604 scopus 로고
    • Fundamental Principles of Deception in Genetic Search
    • G. Rawlins editor, , Los Altos, CA: Morgan Kaufman
    • L. D. Whitley, "Fundamental Principles of Deception in Genetic Search," in G. Rawlins editor, Foundations of Genetic Algorithms. Los Altos, CA: Morgan Kaufman, 1991.
    • (1991) Foundations of Genetic Algorithms
    • Whitley, L.D.1
  • 11
    • 21344498898 scopus 로고
    • A Learning Algorithm for Optimal Representation of Experimental Data
    • J. L. Breeden and N. H. Packard, "A Learning Algorithm for Optimal Representation of Experimental Data", Intl. J. of Bifurcations and Chaos, v. 4, n. 2,1994, pp. 311-326.
    • (1994) Intl. J. of Bifurcations and Chaos , vol.4 , Issue.2 , pp. 311-326
    • Breeden, J.L.1    Packard, N.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.