메뉴 건너뛰기




Volumn , Issue , 2009, Pages 1806-1813

Estimation of distribution algorithms making use of both high quality and low quality individuals

Author keywords

[No Author keywords available]

Indexed keywords

BENCH-MARK PROBLEMS; ESTIMATION OF DISTRIBUTION ALGORITHMS; HIGH QUALITY; LOW QUALITIES; POPULATION SIZES;

EID: 71249143632     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2009.5277373     Document Type: Conference Paper
Times cited : (8)

References (14)
  • 3
    • 44649105615 scopus 로고    scopus 로고
    • Unsupervised feature selection using clustering ensembles and population based incremental learning algorithm
    • Y. Hong, S. Kwong, Y. Chang, Q. Ren. Unsupervised feature selection using clustering ensembles and population based incremental learning algorithm. Pattern Recognition, pp.2742-2756, 2008.
    • (2008) Pattern Recognition , pp. 2742-2756
    • Hong, Y.1    Kwong, S.2    Chang, Y.3    Ren, Q.4
  • 4
    • 34548254543 scopus 로고    scopus 로고
    • An estimation of distribution algorithm for nurse scheduling
    • U. Aickelin, J. Li. An estimation of distribution algorithm for nurse scheduling. Annals of Operations Research, pp.289-309, 2007.
    • (2007) Annals of Operations Research , pp. 289-309
    • Aickelin, U.1    Li, J.2
  • 5
    • 17644405107 scopus 로고    scopus 로고
    • An evolutionary algorithm with guided mutation for the maximum clique problem
    • Q. Zhang, J. Sun, E. Tsang. An evolutionary algorithm with guided mutation for the maximum clique problem. IEEE Trans. Evolutionary Computation, pp. 192-200, 2005.
    • (2005) IEEE Trans. Evolutionary Computation , pp. 192-200
    • Zhang, Q.1    Sun, J.2    Tsang, E.3
  • 6
    • 55749113361 scopus 로고    scopus 로고
    • Probabilistic and graphic model based genetic algorithm driven semi-supervised clustering algorithm
    • Y. Hong, S. Kwong, H. Wang, Q. Ren. Probabilistic and graphic model based genetic algorithm driven semi-supervised clustering algorithm. In IEEE Congress on Evolutionary Computation, pp.322-329, 2008.
    • (2008) IEEE Congress on Evolutionary Computation , pp. 322-329
    • Hong, Y.1    Kwong, S.2    Wang, H.3    Ren, Q.4
  • 7
    • 84958959530 scopus 로고    scopus 로고
    • From recombination of genes to the estimation of distributions: 1. binary parameters
    • H. Mühlenbein, G. Paab. From recombination of genes to the estimation of distributions: 1. binary parameters. In Proc. Parallel Problem Solving Inspired from Nature, pp. 178-187, 1996.
    • (1996) Proc. Parallel Problem Solving Inspired from Nature , pp. 178-187
    • Mühlenbein, H.1    Paab, G.2
  • 9
    • 71249138062 scopus 로고    scopus 로고
    • M. Pelikan, D.E. Goldberg, E. Cantli-Paz. BOA: The Bayesian optimization algorithm. Genetic and Evolutionary Conference, pp.525-532, 1999.
    • M. Pelikan, D.E. Goldberg, E. Cantli-Paz. BOA: The Bayesian optimization algorithm. Genetic and Evolutionary Conference, pp.525-532, 1999.
  • 11
    • 55749113495 scopus 로고    scopus 로고
    • Approaches to selection and their effect on fitness modelling in an estimation of distribution algorithm
    • S. Brownlee, J. McCall , Q. Zhang, D. Brown. Approaches to selection and their effect on fitness modelling in an estimation of distribution algorithm. IEEE Congress on Evolutionary Computation, 2008.
    • (2008) IEEE Congress on Evolutionary Computation
    • Brownlee, S.1    McCall, J.2    Zhang, Q.3    Brown, D.4
  • 14
    • 27144542958 scopus 로고    scopus 로고
    • Optimization of noisy fitness functions with univariate marginal distribution algorithm
    • Y. Hong, Q. Ren, J. Zeng. Optimization of noisy fitness functions with univariate marginal distribution algorithm. IEEE Congress on Evolutionary Computation, pp.1410-1417, 2005.
    • (2005) IEEE Congress on Evolutionary Computation , pp. 1410-1417
    • Hong, Y.1    Ren, Q.2    Zeng, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.