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Volumn 3447, Issue , 2005, Pages 178-189

Operator-based distance for genetic programming: Subtree crossover distance

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CORRELATION METHODS; MATHEMATICAL OPERATORS; TREES (MATHEMATICS);

EID: 24644469160     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-31989-4_16     Document Type: Conference Paper
Times cited : (15)

References (12)
  • 2
    • 0003155122 scopus 로고
    • Fitness distance correlation as a measure of problem difficulty for genetic algorithms
    • L. Eshelman, editor, San Francisco, CA. Morgan Kaufmann
    • T. Jones and S. Forrest. Fitness distance correlation as a measure of problem difficulty for genetic algorithms. In L. Eshelman, editor, Proceedings of the Sixth International Conference on Genetic Algorithms, pages 184-192, San Francisco, CA, 1995. Morgan Kaufmann.
    • (1995) Proceedings of the Sixth International Conference on Genetic Algorithms , pp. 184-192
    • Jones, T.1    Forrest, S.2
  • 3
    • 24644483352 scopus 로고    scopus 로고
    • A study of fitness distance correlation as a difficulty measure in genetic programming
    • in press
    • P. Collard, M. Clergue, M. Tomassini, and L. Vanneschi, A study of fitness distance correlation as a difficulty measure in genetic programming. Evolutionary Computation, in press.
    • Evolutionary Computation
    • Collard, P.1    Clergue, M.2    Tomassini, M.3    Vanneschi, L.4
  • 4
    • 35248865223 scopus 로고    scopus 로고
    • Fitness distance correlation in structural mutation genetic programming
    • C. Ryan et al., editors, Genetic Programming, Proceedings of the European Conference, Essex, 14-16 April. Springer-Verlag
    • L. Vanneschi, M. Tomassini, P. Collard, and M. Clergue. Fitness distance correlation in structural mutation genetic programming. In C. Ryan et al., editors, Genetic Programming, Proceedings of the European Conference, volume 2610 of LNCS, pages 459-468, Essex, 14-16 April 2003. Springer-Verlag.
    • (2003) LNCS , vol.2610 , pp. 459-468
    • Vanneschi, L.1    Tomassini, M.2    Collard, P.3    Clergue, M.4
  • 7
    • 24644501381 scopus 로고    scopus 로고
    • PhD thesis, School of Computer Science and Information Technology, University of Nottingham, Nottingham, England, February
    • S. Gustafson. An Analysis of Diversity in Genetic Programming. PhD thesis, School of Computer Science and Information Technology, University of Nottingham, Nottingham, England, February 2004.
    • (2004) An Analysis of Diversity in Genetic Programming
    • Gustafson, S.1
  • 8
    • 1542286518 scopus 로고    scopus 로고
    • Diversity in genetic programming: An analysis of measures and correlation with fitness
    • E.K. Burke, S. Gustafson, and G. Kendall. Diversity in genetic programming: An analysis of measures and correlation with fitness. IEEE Transactions on Evolutionary Computation, 8(1):47-62, 2004.
    • (2004) IEEE Transactions on Evolutionary Computation , vol.8 , Issue.1 , pp. 47-62
    • Burke, E.K.1    Gustafson, S.2    Kendall, G.3
  • 9
    • 1542293621 scopus 로고    scopus 로고
    • Analysis of genetic diversity through population history
    • W. Banzhaf et al., editors, FL, USA, Morgan Kaufmann
    • N.F. McPhee and N.J. Hopper. Analysis of genetic diversity through population history. In W. Banzhaf et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference, pages 1112-1120, FL, USA, 1999. Morgan Kaufmann.
    • (1999) Proceedings of the Genetic and Evolutionary Computation Conference , pp. 1112-1120
    • McPhee, N.F.1    Hopper, N.J.2
  • 10
    • 35248852926 scopus 로고    scopus 로고
    • Distance between populations
    • E. Cantú-Paz et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference, Chicago, USA, Springer-Verlag
    • M. Wineberg and F. Oppacher. Distance between populations. In E. Cantú-Paz et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 2724 of LNCS, pages 1481-1492, Chicago, USA, 2003. Springer-Verlag.
    • (2003) LNCS , vol.2724 , pp. 1481-1492
    • Wineberg, M.1    Oppacher, F.2
  • 11
    • 0041828876 scopus 로고    scopus 로고
    • General schema theory for genetic programming with subtree-swapping crossover: Part i
    • R. Poli and N.F. McPhee. General schema theory for genetic programming with subtree-swapping crossover: Part i. Evolutionary Computation, 11(1):53-66, 2003.
    • (2003) Evolutionary Computation , vol.11 , Issue.1 , pp. 53-66
    • Poli, R.1    McPhee, N.F.2
  • 12
    • 35048825916 scopus 로고    scopus 로고
    • What makes a problem GP-hard? validating a hypothesis of structural causes
    • E. Cantú-Paz et al., editors, Proceedings of the Genetic and Evolutionary Computation, Chicago, IL, USA, 12-16 July Springer-Verlag.
    • J.M. Daida, H. Li, R. Tang, and A.M. Hilss. What makes a problem GP-hard? validating a hypothesis of structural causes. In E. Cantú-Paz et al., editors, Proceedings of the Genetic and Evolutionary Computation, volume 2724 of LNCS, pages 1665-1677, Chicago, IL, USA, 12-16 July 2003. Springer-Verlag.
    • (2003) LNCS , vol.2724 , pp. 1665-1677
    • Daida, J.M.1    Li, H.2    Tang, R.3    Hilss, A.M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.