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Volumn 3, Issue , 2005, Pages 2560-2567

Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems

Author keywords

[No Author keywords available]

Indexed keywords

OPTIMIZATION; PROBLEM SOLVING; RANDOM PROCESSES;

EID: 27144527857     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (31)

References (21)
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  • 4
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    • Memory enhanced evolutionary algorithms for changing optimization problems
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    • Branke, J.1
  • 6
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    • Nonstationary function optimization using genetic algorithms with dominance and diploidy
    • D. E. Goldberg and R. E. Smith. Nonstationary function optimization using genetic algorithms with dominance and diploidy. Proc. of the 2nd Int. Conf. on Genetic Algorithms, pp. 59-68, 1987.
    • (1987) Proc. of the 2nd Int. Conf. on Genetic Algorithms , pp. 59-68
    • Goldberg, D.E.1    Smith, R.E.2
  • 12
    • 0001248612 scopus 로고    scopus 로고
    • Adaptation to changing environments by means of the memory based thermodynamical genetic algorithm
    • N. Mori, H. Kita and Y. Nishikawa. Adaptation to changing environments by means of the memory based thermodynamical genetic algorithm. Proc. of the 7th Int. Conf. on Genetic Algorithms, pp. 299-306, 1997.
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    • Mori, N.1    Kita, H.2    Nishikawa, Y.3
  • 14
    • 0031215849 scopus 로고    scopus 로고
    • The equation for response to selection and its use for prediction
    • H. Mühlenbein. The equation for response to selection and its use for prediction. Evolutionary Computation, vol. 5, pp. 303-346, 1998.
    • (1998) Evolutionary Computation , vol.5 , pp. 303-346
    • Mühlenbein, H.1
  • 15
    • 0008004332 scopus 로고    scopus 로고
    • A new diploid scheme and dominance change mechanism for non-stationary function optimisation
    • K. P. Ng and K. C. Wong. A new diploid scheme and dominance change mechanism for non-stationary function optimisation. Proc. of the 6th Int. Conf. on Genetic Algorithms, 1997.
    • (1997) Proc. of the 6th Int. Conf. on Genetic Algorithms
    • Ng, K.P.1    Wong, K.C.2
  • 18
    • 84901412487 scopus 로고    scopus 로고
    • Non-stationary problem optimization using the primal-dual genetic algorithm
    • S. Yang. Non-stationary problem optimization using the primal-dual genetic algorithm. Proc. of the 2003 Congress on Evol. Comput., vol. 3, pp. 2246-2253, 2003.
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  • 19
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    • Experimental study on population-based incremental learning algorithms for dynamic optimization problems
    • published online first on 22 April
    • S. Yang and X. Yao. Experimental study on population-based incremental learning algorithms for dynamic optimization problems. Soft Computing, published online first on 22 April 2005.
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    • Yang, S.1    Yao, X.2
  • 20
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    • Population-based incremental learning with associative memory for dynamic environments
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    • S. Yang and X. Yao. Population-based incremental learning with associative memory for dynamic environments. Submitted to IEEE Trans. on Evol. Comput., 2005.
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    • On stability of fixed points of limit models of univariate marginal distribution algorithm and factorized distribution algorithm
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.