메뉴 건너뛰기




Volumn , Issue , 2007, Pages 1075-1182

Over-selection: An attempt to boost EDA under small population size

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK PROBLEMS; ESTIMATION OF DISTRIBUTION ALGORITHM (EDA);

EID: 71249084715     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2007.4424589     Document Type: Conference Paper
Times cited : (7)

References (34)
  • 3
    • 17644405107 scopus 로고    scopus 로고
    • An evolutionary algorithm with guided mutation for the maximum clique problem
    • Q. Zhang, J. Sun and E. Tsang, An evolutionary algorithm with guided mutation for the maximum clique problem, IEEE Trans. Evolutionary Computation, Vol.9, no.2, pp.192-200, 2005
    • (2005) IEEE Trans. Evolutionary Computation , vol.9 , Issue.2 , pp. 192-200
    • Zhang, Q.1    Sun, J.2    Tsang, E.3
  • 4
    • 0036778916 scopus 로고    scopus 로고
    • A simple method for generating additive clustering models with limited complexity
    • L. Michael, A simple method for generating additive clustering models with limited complexity, Machine Learning, vol.49, pp.35-58, 2002.
    • (2002) Machine Learning , vol.49 , pp. 35-58
    • Michael, L.1
  • 5
    • 33750256745 scopus 로고    scopus 로고
    • An estimation of distribution algorithm for nurse scheduling
    • U. Aickelin and J. Li, An estimation of distribution algorithm for nurse scheduling, Annals of Operations Research, 2006.
    • (2006) Annals of Operations Research
    • Aickelin, U.1    Li, J.2
  • 9
    • 84958959530 scopus 로고    scopus 로고
    • From recombination of genes to the estimation of distributions: I. binary parameters
    • H. Mühlenbein and G. Paaß, From recombination of genes to the estimation of distributions: I. binary parameters, In Proc. Parallel Problem Solving for Nature (PPSN96), pp.178-187, 1996.
    • (1996) Proc. Parallel Problem Solving for Nature (PPSN96) , pp. 178-187
    • Mühlenbein, H.1    Paaß, G.2
  • 10
    • 0003984832 scopus 로고
    • Population-based incremental learning: A method for integrating genetic search based function optimization and competive learning
    • S. Baluja and S. Davis, Population-based incremental learning: A method for integrating genetic search based function optimization and competive learning, Tech. Rep. No. CMU-CS-94-166, Carnegie Mellon University, 1994.
    • (1994) Tech. Rep. No. CMU-CS-94-166, Carnegie Mellon University
    • Baluja, S.1    Davis, S.2
  • 12
    • 0342323698 scopus 로고    scopus 로고
    • Evolutionary optimization using graphical models
    • H. Mühleibein and T. Maching, Evolutionary optimization using graphical models, New Generation Computing, vol.18, no.2, pp.157-166, 2000.
    • (2000) New Generation Computing , vol.18 , Issue.2 , pp. 157-166
    • Mühleibein, H.1    MacHing, T.2
  • 14
    • 33748362659 scopus 로고    scopus 로고
    • Unit bit importance evolutionary algorithm
    • Y. Hong, Q. Ren, and J. Zeng, Unit bit importance evolutionary algorithm, Soft Computing, Vol.11, no.2, pp.115-122, 2007.
    • (2007) Soft Computing , vol.11 , Issue.2 , pp. 115-122
    • Hong, Y.1    Ren, Q.2    Zeng, J.3
  • 16
    • 0001955592 scopus 로고    scopus 로고
    • Using optimal dependency-trees for combinatory optimization: Learning the structure of the search space
    • J.S. De Bonet and S. Davis, Using optimal dependency-trees for combinatory optimization: Learning the structure of the search space, In Proc. International Conference on Machine Learning (ICML97), pp.30-38,1997.
    • (1997) Proc. International Conference on Machine Learning (ICML97) , pp. 30-38
    • De Bonet, J.S.1    Davis, S.2
  • 19
    • 0345504778 scopus 로고    scopus 로고
    • Schemata, distributions and graphical models in evolutionary optimization
    • H. Mühlenbein, T. Mahnig and A.O. Rodriguez, Schemata, distributions and graphical models in evolutionary optimization, Journal of Heuristics Vol.5, pp.215-247,1999.
    • (1999) Journal of Heuristics , vol.5 , pp. 215-247
    • Mühlenbein, H.1    Mahnig, T.2    Rodriguez, A.O.3
  • 21
    • 9444227679 scopus 로고    scopus 로고
    • A markov network based factorized distribution algorithm for optimization
    • R. Santana, A markov network based factorized distribution algorithm for optimization, in Proc. European Conference on Machine Learning (ECML03), pp.337-348, 2003.
    • (2003) Proc. European Conference on Machine Learning (ECML03) , pp. 337-348
    • Santana, R.1
  • 23
    • 84947922384 scopus 로고    scopus 로고
    • Expanding from discrete to continuous estimation of distribution algorithm: The IDEA
    • P.A.N. Bosman and D. Thierens, Expanding from discrete to continuous estimation of distribution algorithm: The IDEA, in Proc. Paralle Problem Solving From Nature (PPSN00), pp.767-776, 2000.
    • (2000) Proc. Paralle Problem Solving from Nature (PPSN00) , pp. 767-776
    • Bosman, P.A.N.1    Thierens, D.2
  • 31
    • 55749096627 scopus 로고    scopus 로고
    • A comprehensive comparison between real population based tournament selection and virtual population based tournament selection
    • to appear
    • Y. Hong, S. Kwong, Q. Ren and X. Wang, A comprehensive comparison between real population based tournament selection and virtual population based tournament selection, in Proc. IEEE Congress on Evolutionary Computation (IEEE CEC07), to appear.
    • Proc. IEEE Congress on Evolutionary Computation (IEEE CEC07)
    • Hong, Y.1    Kwong, S.2    Ren, Q.3    Wang, X.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.