메뉴 건너뛰기




Volumn 51, Issue , 2007, Pages 3-28

Explicit memory schemes for evolutionary algorithms in dynamic environments

Author keywords

[No Author keywords available]

Indexed keywords


EID: 34147188181     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-49774-5_1     Document Type: Article
Times cited : (48)

References (30)
  • 1
    • 0003984832 scopus 로고
    • Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning
    • Technical Report CMU-CS-94-163, Carnegie Mellon University, USA
    • S. Baluja (1994). Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning. Technical Report CMU-CS-94-163, Carnegie Mellon University, USA.
    • (1994)
    • Baluja, S.1
  • 3
    • 84901453819 scopus 로고    scopus 로고
    • Memory enhanced evolutionary algorithms for changing optimization problems
    • J. Branke (1999). Memory enhanced evolutionary algorithms for changing optimization problems. Proc. of the 1999 Congress on Evolutionary Computation, vol. 3, pp. 1875-1882.
    • (1999) Proc. of the 1999 Congress on Evolutionary Computation , vol.3 , pp. 1875-1882
    • Branke, J.1
  • 7
    • 0002928380 scopus 로고
    • Nonstationary function optimization using the structured genetic algorithm
    • D. Dasgupta and D. McGregor (1992). Nonstationary function optimization using the structured genetic algorithm. PPSN II, pp. 145-154.
    • (1992) PPSN II , pp. 145-154
    • Dasgupta, D.1    McGregor, D.2
  • 8
    • 0002645923 scopus 로고
    • Nonstationary function optimization using genetic algorithms with dominance and diploidy
    • D. E. Goldberg and R. E. Smith (1987). Nonstationary function optimization using genetic algorithms with dominance and diploidy. Proc. of the 2nd Int. Conf. on Genetic Algorithms, pp. 59-68.
    • (1987) Proc. of the 2nd Int. Conf. on Genetic Algorithms , pp. 59-68
    • Goldberg, D.E.1    Smith, R.E.2
  • 15
    • 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 (1997). 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) Proc. of the 7th Int. Conf. on Genetic Algorithms , pp. 299-306
    • Mori, N.1    Kita, H.2    Nishikawa, Y.3
  • 19
    • 0031215849 scopus 로고    scopus 로고
    • The equation for response to selection and its use for prediction
    • H. Mühlenbein (1998). The equation for response to selection and its use for prediction. Evolutionary Computation, 5: 303-346.
    • (1998) Evolutionary Computation , vol.5 , pp. 303-346
    • Mühlenbein, H.1
  • 20
    • 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 (1997). A new diploid scheme and dominance change mechanism for non-stationary function optimisation. Proc. of the 6th Int. Conf. on Genetic Algorithms.
    • (1997) Proc. of the 6th Int. Conf. on Genetic Algorithms
    • Ng, K.P.1    Wong, K.C.2
  • 23
    • 67349272907 scopus 로고    scopus 로고
    • A comparative study of steady state and generational genetic algorithms for use in nonstationary environments
    • F. Vavak and T. C. Fogarty (1996). A comparative study of steady state and generational genetic algorithms for use in nonstationary environments. AISB Workshop on Evolutionary Computing, LNCS 1143, pp. 297-304.
    • (1996) AISB Workshop on Evolutionary Computing, LNCS , vol.1143 , pp. 297-304
    • Vavak, F.1    Fogarty, T.C.2
  • 24
    • 84901412487 scopus 로고    scopus 로고
    • Non-stationary problem optimization using the primal-dual genetic algorithm
    • S. Yang (2003). Non-stationary problem optimization using the primal-dual genetic algorithm. Proc. of the 2003 Congress on Evolutionary Computation, vol. 3, pp. 2246-2253.
    • (2003) Proc. of the 2003 Congress on Evolutionary Computation , vol.3 , pp. 2246-2253
    • Yang, S.1
  • 26
    • 32444435566 scopus 로고    scopus 로고
    • Population-based incremental learning with memory scheme for changing environments
    • S. Yang (2005). Population-based incremental learning with memory scheme for changing environments. Proc. of the 2005 Genetic and Evolutionary Computation Conference, vol. 1, pp. 711-718.
    • (2005) Proc. of the 2005 Genetic and Evolutionary Computation Conference , vol.1 , pp. 711-718
    • Yang, S.1
  • 27
    • 27144527857 scopus 로고    scopus 로고
    • Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems
    • S. Yang (2005). Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems. Proc. of the 2005 Congress on Evolutionary Computation, vol. 3, pp. 2560-2567.
    • (2005) Proc. of the 2005 Congress on Evolutionary Computation , vol.3 , pp. 2560-2567
    • Yang, S.1
  • 28
    • 33745823878 scopus 로고    scopus 로고
    • Associative memory scheme for genetic algorithms in dynamic environments
    • S. Yang (2006). Associative memory scheme for genetic algorithms in dynamic environments. Applications of Evolutionary Computing, LNCS 3907, pp. 788-799.
    • (2006) Applications of Evolutionary Computing, LNCS , vol.3907 , pp. 788-799
    • Yang, S.1
  • 29
    • 27144484035 scopus 로고    scopus 로고
    • Experimental study on population-based incremental learning algorithms for dynamic optimization problems
    • S. Yang and X. Yao (2005). Experimental study on population-based incremental learning algorithms for dynamic optimization problems, Soft Computing, 9(11): 815-834.
    • (2005) Soft Computing , vol.9 , Issue.11 , pp. 815-834
    • Yang, S.1    Yao, X.2
  • 30
    • 27144432709 scopus 로고    scopus 로고
    • Population-based incremental learning with associative memory for dynamic environments
    • submitted to
    • S. Yang and X. Yao (2006). Population-based incremental learning with associative memory for dynamic environments, submitted to IEEE Transactions on Evolutionary Computation.
    • (2006) IEEE Transactions on Evolutionary Computation
    • Yang, S.1    Yao, X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.