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Volumn 2439, Issue , 2002, Pages 371-380

Limiting the number of fitness cases in genetic programming using statistics

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; HEALTH; INFORMATION THEORY;

EID: 84944319050     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45712-7_36     Document Type: Conference Paper
Times cited : (28)

References (9)
  • 3
    • 85008255983 scopus 로고
    • Dynamic training subset selection for supervised learning in genetic programming
    • In Y. Davidor, H.-P. Schwefel, and R. Männer, editors, Lecture Notes in Computer Science, Heidelberg, Springer-Verlag
    • C. Gathercole and P. Ross. Dynamic training subset selection for supervised learning in genetic programming. In Y. Davidor, H.-P. Schwefel, and R. Männer, editors, Parallel Problem Solving from Nature- PPSN III, volume 866 of Lecture Notes in Computer Science, pages 312–321, Heidelberg, 1994. Springer-Verlag.
    • (1994) Parallel Problem Solving from Nature- PPSN III , vol.866 , pp. 312-321
    • Gathercole, C.1    Ross, P.2
  • 4
    • 0001851932 scopus 로고    scopus 로고
    • Tackling the boolean even N parity problem with genetic programming and limited-error fitness
    • In John R. Koza, Kalyanmoy Deb, Marco Dorigo, David B. Fogel, Max Garzon, Hitoshi Iba, and Rick L. Riolo, editors, an Francisco, CA, USA, Morgan Kaufmann
    • C. Gathercole and P. Ross. Tackling the boolean even N parity problem with genetic programming and limited-error fitness. In John R. Koza, Kalyanmoy Deb, Marco Dorigo, David B. Fogel, Max Garzon, Hitoshi Iba, and Rick L. Riolo, editors, Genetic Programming 1997: Proceedings of the Second Annual Conference, pages 119–127, San Francisco, CA, USA, 1997. Morgan Kaufmann.
    • (1997) Genetic Programming 1997: Proceedings of the Second Annual Conference , pp. 119-127
    • Gathercole, C.1    Ross, P.2
  • 6
    • 0000157651 scopus 로고
    • Co-evolving parasites improve simulated evolution as an optimization procedure
    • In C. G. Langton, C. Taylor, J. D. Farmer, and S. Rasmussen, editors, SFI Studies in the Sciences of Complexity, Redwood City, CA, Addison-Wesley
    • W. D. Hillis. Co-evolving parasites improve simulated evolution as an optimization procedure. In C. G. Langton, C. Taylor, J. D. Farmer, and S. Rasmussen, editors, Artificial Life II, volume 10 of SFI Studies in the Sciences of Complexity, pages 313–324, Redwood City, CA, 1992. Addison-Wesley.
    • (1992) Artificial Life II , vol.10 , pp. 313-324
    • Hillis, W.D.1
  • 7
    • 11544269811 scopus 로고
    • Genetic programming controlling a miniature robot
    • In E.V. Siegel and J.R. Koza, editors, MIT Press, Cambridge, MA
    • P. Nordin and W. Banzhaf. Genetic programming controlling a miniature robot. In E.V. Siegel and J.R. Koza, editors, Working Notes for the AAAI Symposium on Genetic Programming, pages 61–67. MIT Press, Cambridge, MA, 1995.
    • (1995) Working Notes for the AAAI Symposium on Genetic Programming , pp. 61-67
    • Nordin, P.1    Banzhaf, W.2
  • 8
    • 2942629452 scopus 로고    scopus 로고
    • The effects of randomly sampled training data on program evolution
    • D.Whitley, D.Goldberg, and E. Cantu-Paz, editors, Morgan Kaufmann
    • B.J. Ross. The effects of randomly sampled training data on program evolution. In D.Whitley, D.Goldberg, and E. Cantu-Paz, editors, GECCO 2000 Proceedings of the Genetic and Evolutionary Computation Conference, pages 443–450. Morgan Kaufmann, 2000.
    • (2000) GECCO 2000 Proceedings of the Genetic and Evolutionary Computation Conference , pp. 443-450
    • Ross, B.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.