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Volumn 11, Issue 2, 2007, Pages 115-122

Unit bit importance evolutionary algorithm

Author keywords

Bit importance; Convergent order of bit; Genetic algorithms; Weighted probability

Indexed keywords


EID: 33748362659     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-006-0057-7     Document Type: Article
Times cited : (2)

References (15)
  • 2
    • 0003722376 scopus 로고
    • Genetic algorithms in search, optimization, and machine learning
    • Addison-Wesley, Reading
    • Goldberg DE (1989) Genetic algorithms in search, optimization, and machine learning. Addison-Wesley, Reading
    • (1989)
    • Goldberg, D.E.1
  • 3
    • 0343617779 scopus 로고
    • Evolutionary computation: Toward a new philosophy of machine intelligence
    • Press, Piscatway, New Jersey
    • Fogel DB (1995) Evolutionary computation: Toward a new philosophy of machine intelligence. IEEE Press, Piscatway, New Jersey
    • (1995) IEEE
    • Fogel, D.B.1
  • 4
    • 0041481252 scopus 로고    scopus 로고
    • Estimation of distribution algoriothms
    • Kluwer, Dordrecht
    • Larranãga P, Lozano JA (2002) Estimation of distribution algoriothms. Kluwer, Dordrecht
    • (2002)
    • Larranãga, P.1    Lozano, J.A.2
  • 5
    • 0003984832 scopus 로고
    • Population-based incremental learning: A method for intergrating genetic search based function optimization and competitive learning
    • Technical Report CMU-CS-94-163, Carnegie Mellon University, Pittsburg
    • Baluja S (1994) Population-based incremental learning: A method for intergrating genetic search based function optimization and competitive learning. Technical Report CMU-CS-94-163, Carnegie Mellon University, Pittsburg
    • (1994)
    • Baluja, S.1
  • 6
    • 0033258156 scopus 로고    scopus 로고
    • FDA - A scalable evolutionary algorithm of the optimization of additively decomposed functions
    • Muhlenbein H, Mahnig T (1999) FDA - a scalable evolutionary algorithm of the optimization of additively decomposed functions. Evol Comput 7(4): 353-376
    • (1999) Evol Comput , vol.7 , Issue.4 , pp. 353-376
    • Muhlenbein, H.1    Mahnig, T.2
  • 8
    • 0031215849 scopus 로고    scopus 로고
    • The equation for response to selection and its use for prediction
    • Muhlenbein H (1998) The equation for response to selection and its use for prediction. Evol Comput 5(3): 303-346
    • (1998) Evol Comput , vol.5 , Issue.3 , pp. 303-346
    • Muhlenbein, H.1
  • 9
    • 0002932917 scopus 로고    scopus 로고
    • Evolutionary algorithms: From recombination to search distributions
    • In: Kallel L, Nandts B, Rogers A (eds) Springer, Natural Computing
    • Muhlenbein H, Mahing T (2000) Evolutionary algorithms: From recombination to search distributions. In: Kallel L, Nandts B, Rogers A (eds) Theoretical aspects of evolutionary computation. Springer, Natural Computing, pp 137-176
    • (2000) Theoretical Aspects of Evolutionary Computation , pp. 137-176
    • Muhlenbein, H.1    Mahing, T.2
  • 10
    • 27144440657 scopus 로고
    • Genetic algorithms and fitness variance with an application to automated design of artificial nueral networks
    • PhD thesis, Oregon Graduate Institute of Science and Technology
    • Rudnick M (1992) Genetic algorithms and fitness variance with an application to automated design of artificial nueral networks. PhD thesis, Oregon Graduate Institute of Science and Technology.
    • (1992)
    • Rudnick, M.1
  • 12
    • 0033884705 scopus 로고    scopus 로고
    • Learnable evolutionaty model: Evolutionary processes guided by machine learning
    • Kluwer, Dordrecht
    • Michalski RS (2000) Learnable evolutionaty model: Evolutionary processes guided by machine learning. Kluwer, Dordrecht, pp 9-40
    • (2000) , pp. 9-40
    • Michalski, R.S.1
  • 15
    • 15544377453 scopus 로고    scopus 로고
    • Drift and scaling in estimation of distribution algorithms
    • Shapiro L (2005) Drift and scaling in estimation of distribution algorithms. Evol Comput 13(1): 99-123
    • (2005) Evol Comput , vol.13 , Issue.1 , pp. 99-123
    • Shapiro, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.