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Volumn 12, Issue 4, 2008, Pages 506-524

Crossover-based tree distance in genetic programming

Author keywords

Distance measures; Diversity; Genetic programming (GP); Operators

Indexed keywords

COMPUTER PROGRAMMING; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; GENETIC PROGRAMMING; LEARNING ALGORITHMS; STANDARDS; TREES (MATHEMATICS);

EID: 49049098323     PISSN: 1089778X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TEVC.2008.915993     Document Type: Article
Times cited : (28)

References (28)
  • 2
    • 0003550699 scopus 로고
    • Evolutionary algorithms, fitness landscapes and search,
    • Ph.D. dissertation, Univ. New Mexico, Albuquerque, NM
    • T. Jones, "Evolutionary algorithms, fitness landscapes and search," Ph.D. dissertation, Univ. New Mexico, Albuquerque, NM, 1995.
    • (1995)
    • Jones, T.1
  • 3
    • 21344438136 scopus 로고    scopus 로고
    • A study of fitness distance correlation as a difficulty measure in genetic programming
    • M. Tomassini, L. Vanneschi, P. Collard, and M. Clergue, "A study of fitness distance correlation as a difficulty measure in genetic programming," Evol. Comput., vol. 13, no. 2, pp. 213-239, 2005.
    • (2005) Evol. Comput , vol.13 , Issue.2 , pp. 213-239
    • Tomassini, M.1    Vanneschi, L.2    Collard, P.3    Clergue, M.4
  • 4
    • 35248865223 scopus 로고    scopus 로고
    • Fitness distance correlation in structural mutation genetic programming
    • Proc. Eur. Conf. Genetic Programming, C. Ryan et al, Ed, April 14-16
    • L. Vanneschi, M. Tomassini, P. Collard, and M. Clergue, "Fitness distance correlation in structural mutation genetic programming," in Proc. Eur. Conf. Genetic Programming, C. Ryan et al., Ed., April 14-16, 2003, vol. 2610, Lecture Notes in Computer Science, pp. 459-468.
    • (2003) Lecture Notes in Computer Science , vol.2610 , pp. 459-468
    • Vanneschi, L.1    Tomassini, M.2    Collard, P.3    Clergue, M.4
  • 5
    • 49049117723 scopus 로고    scopus 로고
    • L. Vanneschi, Theory and Practice for Efficient Genetic Programming, Ph.D. dissertation, Univ. Lausanne, Lausanne, Switzerland, 2004.
    • L. Vanneschi, "Theory and Practice for Efficient Genetic Programming," Ph.D. dissertation, Univ. Lausanne, Lausanne, Switzerland, 2004.
  • 7
    • 24644501381 scopus 로고    scopus 로고
    • An Analysis of Diversity in Genetic Programming,
    • Ph.D. dissertation, School of Comput. Sci. Inf. Technol, Univ. Nottingham, Nottingham, U.K, Feb
    • S. Gustafson, "An Analysis of Diversity in Genetic Programming," Ph.D. dissertation, School of Comput. Sci. Inf. Technol., Univ. Nottingham, Nottingham, U.K., Feb. 2004.
    • (2004)
    • Gustafson, S.1
  • 8
    • 1542286518 scopus 로고    scopus 로고
    • Diversity in genetic programming: An analysis of measures and correlation with fitness
    • Feb
    • E. K. Burke, S. Gustafson, and G. Kendall, "Diversity in genetic programming: An analysis of measures and correlation with fitness," IEEE Trans. Evol. Comput., vol. 8, no. 1, pp. 47-62, Feb. 2004.
    • (2004) IEEE Trans. Evol. Comput , 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, Ed, pp
    • N. F. McPhee and N. J. Hopper, "Analysis of genetic diversity through population history," in Proc. Genetic and Evol. Comput. Conf., W. Banzhaf et al., Ed., pp. 1112-1120.
    • Proc. Genetic and Evol. Comput. Conf , pp. 1112-1120
    • McPhee, N.F.1    Hopper, N.J.2
  • 10
    • 0346659780 scopus 로고    scopus 로고
    • Fitness distance correlation analysis: An instructive counterexample
    • T. Back, Ed
    • L. Altenberg, "Fitness distance correlation analysis: An instructive counterexample," in Proc. 7th Int. Conf. Genetic Algorithms, T. Back, Ed., 1997, pp. 57-64.
    • (1997) Proc. 7th Int. Conf. Genetic Algorithms , pp. 57-64
    • Altenberg, L.1
  • 11
    • 0003155122 scopus 로고
    • Fitness distance correlation as a measure of problem difficulty for genetic algorithms
    • T. Jones and S. Forrest, "Fitness distance correlation as a measure of problem difficulty for genetic algorithms," in Proc. 6th Int. Conf. Genetic Algorithms, 1995, pp. 184-192.
    • (1995) Proc. 6th Int. Conf. Genetic Algorithms , pp. 184-192
    • Jones, T.1    Forrest, S.2
  • 13
    • 3543087268 scopus 로고    scopus 로고
    • How fitness structure affects subsolution acquisition in genetic programming
    • J. R. Koza et al, Ed, Madison, WI, Jul. 22-25
    • U.-M. O'Reilly and D. E. Goldberg, "How fitness structure affects subsolution acquisition in genetic programming," in Proc. 3rd Annu. Genetic Programming Conf., J. R. Koza et al., Ed., Madison, WI, Jul. 22-25, 1998, pp. 269-277.
    • (1998) Proc. 3rd Annu. Genetic Programming Conf , pp. 269-277
    • O'Reilly, U.-M.1    Goldberg, D.E.2
  • 14
    • 85027501336 scopus 로고
    • Program search with a hierarchical variable length representation: Genetic programming, simulated annealing and hill climbing
    • Parallel Problem Solving From Nature, Y. Davidor et al, Ed. Berlin, Germany: Springer-Verlag, Oct. 9-14
    • U.-M. O'Reilly and F. Oppacher, "Program search with a hierarchical variable length representation: Genetic programming, simulated annealing and hill climbing," in Parallel Problem Solving From Nature, Y. Davidor et al., Ed. Berlin, Germany: Springer-Verlag, Oct. 9-14, 1994, vol. 866, Lecture Notes in Computer Science, pp. 397-406.
    • (1994) Lecture Notes in Computer Science , vol.866 , pp. 397-406
    • O'Reilly, U.-M.1    Oppacher, F.2
  • 15
    • 84943238122 scopus 로고    scopus 로고
    • Maintaining the diversity of genetic programs
    • Proc. 5th Eur. Conf, Genetic Programming, EuroGP'2002 J. A. Foster et al, Ed
    • A. Ekárt and S. Z. Németh, "Maintaining the diversity of genetic programs," in Proc. 5th Eur. Conf., Genetic Programming, EuroGP'2002 J. A. Foster et al., Ed., 2002, vol. 2278, Lecture Notes in Computer Science, pp. 162-171.
    • (2002) Lecture Notes in Computer Science , vol.2278 , pp. 162-171
    • Ekárt, A.1    Németh, S.Z.2
  • 16
    • 84943243904 scopus 로고    scopus 로고
    • Explicit control of diversity and effective variation distance in linear genetic programming
    • Proc. 5th Eur. Conf. Genetic Programming, A. G. B. Tettamanzi et al, Ed, Apr
    • M. Brameier and W. Banzhaf, "Explicit control of diversity and effective variation distance in linear genetic programming," in Proc. 5th Eur. Conf. Genetic Programming, A. G. B. Tettamanzi et al., Ed., Apr. 2002, vol. 2278, Lecture Notes in Computer Science, pp. 162-171.
    • (2002) Lecture Notes in Computer Science , vol.2278 , pp. 162-171
    • Brameier, M.1    Banzhaf, W.2
  • 17
    • 49049120423 scopus 로고    scopus 로고
    • Geometric unification of evolutionary algorithms
    • M. Giacobini and J. van Hemert, Eds, Apr. 10
    • A. Moraglio, "Geometric unification of evolutionary algorithms," in Proc. Eur. Graduate Student Workshop Evol. Comput., M. Giacobini and J. van Hemert, Eds., Apr. 10, 2006, pp. 45-58.
    • (2006) Proc. Eur. Graduate Student Workshop Evol. Comput , pp. 45-58
    • Moraglio, A.1
  • 19
    • 24644469160 scopus 로고    scopus 로고
    • Operator-based distance for genetic programming: Subtree crossover distance
    • Proc. 8th Eur. Conf. Genetic Programming, EuroGP'2005, M. Keijzer et al, Ed
    • S. Gustafson and L. Vanneschi, "Operator-based distance for genetic programming: Subtree crossover distance," in Proc. 8th Eur. Conf. Genetic Programming, EuroGP'2005, M. Keijzer et al., Ed., 2005, vol. 3447, Lecture Notes in Computer Science, pp. 178-189.
    • (2005) Lecture Notes in Computer Science , vol.3447 , pp. 178-189
    • Gustafson, S.1    Vanneschi, L.2
  • 20
    • 33745758353 scopus 로고    scopus 로고
    • Using subtree crossover distance to investigate genetic programming dynamics
    • Proc. 9th Eur. Conf. Genetic Programming, EuroGP'2006, P. Collet et al, Ed
    • L. Vanneschi, S. Gustafson, and G. Mauri, "Using subtree crossover distance to investigate genetic programming dynamics," in Proc. 9th Eur. Conf. Genetic Programming, EuroGP'2006, P. Collet et al., Ed., 2006, vol. 3905, Lecture Notes in Computer Science, pp. 238-249.
    • (2006) Lecture Notes in Computer Science , vol.3905 , pp. 238-249
    • Vanneschi, L.1    Gustafson, S.2    Mauri, G.3
  • 21
    • 35248852926 scopus 로고    scopus 로고
    • Distance between populations
    • Proc. Genetic and Evol. Comput. Conf, E. Cantú-Paz et al, Ed
    • M. Wineberg and F. Oppacher, "Distance between populations," in Proc. Genetic and Evol. Comput. Conf., E. Cantú-Paz et al., Ed., 2003, vol. 2724, Lecture Notes in Computer Science, pp. 1481-1492.
    • (2003) Lecture Notes in Computer Science , vol.2724 , pp. 1481-1492
    • Wineberg, M.1    Oppacher, F.2
  • 22
    • 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," Evol. Comput. vol. 11, no. 1, pp. 53-66, 2003.
    • (2003) Evol. Comput , vol.11 , Issue.1 , pp. 53-66
    • Poli, R.1    McPhee, N.F.2
  • 23
    • 35048825916 scopus 로고    scopus 로고
    • What makes a problem GP-hard? Validating a hypothesis of structural causes
    • Proc. Genetic and Evol. Comput, E. Cantú-Paz et al, Ed
    • J. M. Daida, H. Li, R. Tang, and A. M. Hilss, "What makes a problem GP-hard? Validating a hypothesis of structural causes," in Proc. Genetic and Evol. Comput., E. Cantú-Paz et al., Ed., vol. 2724, Lecture Notes in Computer Science, pp. 1665-1677.
    • Lecture Notes in Computer Science , vol.2724 , pp. 1665-1677
    • Daida, J.M.1    Li, H.2    Tang, R.3    Hilss, A.M.4
  • 25
    • 49049098001 scopus 로고    scopus 로고
    • J. M. Daida, H. Li, R. Tang, and A. M. Hilss, :WHat makes a problem GP-hard? Validating a hypothesis of structural causes, in Proc. Genetic and Evol. Comput. - GECCO'2003, E. Cantú-Paz et al., Ed., Jul. 12-16, 2003, 2724, Lecture Notes in Computer Science, pp. 1729-1739.
    • J. M. Daida, H. Li, R. Tang, and A. M. Hilss, ":WHat makes a problem GP-hard? Validating a hypothesis of structural causes," in Proc. Genetic and Evol. Comput. - GECCO'2003, E. Cantú-Paz et al., Ed., Jul. 12-16, 2003, vol. 2724, Lecture Notes in Computer Science, pp. 1729-1739.
  • 26
    • 33645575048 scopus 로고    scopus 로고
    • Representation and structural difficulty in genetic programming
    • Apr
    • N. X. Hoai, R. I. BobMcKay, and D. L. Essam, "Representation and structural difficulty in genetic programming," IEEE Trans. Evol. Comput., vol. 10, no. 2, pp. 157-166, Apr. 2006.
    • (2006) IEEE Trans. Evol. Comput , vol.10 , Issue.2 , pp. 157-166
    • Hoai, N.X.1    BobMcKay, R.I.2    Essam, D.L.3
  • 27
    • 49049093732 scopus 로고    scopus 로고
    • B. Punch, D. Zongker, and E. Goodman, :THe royal tree problem, a benchmark for single and multiple population genetic programming, in Advances in Genetic Programming 2, P. Angeline and K. Kinnear, Eds. Cambridge, MA: MIT Press, 1996, pp. 299-316.
    • B. Punch, D. Zongker, and E. Goodman, ":THe royal tree problem, a benchmark for single and multiple population genetic programming," in Advances in Genetic Programming 2, P. Angeline and K. Kinnear, Eds. Cambridge, MA: MIT Press, 1996, pp. 299-316.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.