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Volumn 2, Issue , 2004, Pages 1364-1369

Evolutionary optimization based on chaotic sequence in dynamic environments

Author keywords

Chaotic sequence; Dynamic environments; Evolutionary algorithm; Optimization problems

Indexed keywords

BIODIVERSITY; EVOLUTIONARY ALGORITHMS; NUMERICAL ANALYSIS; OPTIMIZATION; PROBLEM SOLVING; SELF ADJUSTING CONTROL SYSTEMS;

EID: 2942676757     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (15)
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    • Memory enhanced evolutionary algorithms for changing optimization problems
    • J.Branke. Memory Enhanced Evolutionary Algorithms for Changing Optimization Problems. In Congress on Evolutionary Computation (CEC99),pp. 1875-1882, 1999.
    • (1999) Congress on Evolutionary Computation (CEC99) , pp. 1875-1882
    • Branke, J.1
  • 5
    • 84901412996 scopus 로고    scopus 로고
    • Dynamic memory model for non-stationary optimization
    • N.Claus Bendtsen, Thiemo Krink. Dynamic Memory Model for Non-Stationary Optimization, CEC2002, pp.145-150, 2002.
    • (2002) CEC2002 , pp. 145-150
    • Claus Bendtsen, N.1    Krink, T.2
  • 7
    • 84958948525 scopus 로고    scopus 로고
    • Adaptation to a changing environment by means of the thermodynamical genetic algorithm
    • Springer Verlag, Berlin
    • N. Mori, H. Kita, and Y. Nishikawa .Adaptation to a changing environment by means of the thermodynamical genetic algorithm. Volume 1141 of LNCS, pages 513-522. Springer Verlag, Berlin, 1996.
    • (1996) LNCS , vol.1141 , pp. 513-522.
    • Mori, N.1    Kita, H.2    Nishikawa, Y.3
  • 8
    • 0003497966 scopus 로고
    • An investigation into the use of hypermutation as an adaptive operator in genetic algorithms having continuous, time dependent non-stationary environments
    • Naval Research Laboratory, Washington, USA
    • H. G.Cobb, An investigation into the use of hypermutation as an adaptive operator in genetic algorithms having continuous ,time dependent non-stationary environments Technical Report AIC-90-001, Naval Research Laboratory, Washington, USA, 1990.
    • (1990) Technical Report , vol.AIC-90-001
    • Cobb, H.G.1
  • 9
    • 0000893858 scopus 로고
    • Genetic algorithms for changing environments
    • R.Maenner and B.Manderick (Eds.),North Holland
    • J.J.Grefenstette, Genetic algorithms for changing environments. Proc. Parallel Problem Solving from Nature-2,R.Maenner and B.Manderick (Eds.),North Holland, pp.137-144, 1992.
    • (1992) Proc. Parallel Problem Solving from Nature-2 , pp. 137-144
    • Grefenstette, J.J.1
  • 10
    • 0031648378 scopus 로고    scopus 로고
    • Function optimization in nonstationary environment using steady state genetic algorithms with aging of individuals
    • Piscataway, NJ: IEEE Press
    • Ghosh,A., Tsutsui, S. and Tanaka,H., Function Optimization in Nonstationary Environment using Steady State Genetic Algorithms with Aging of Individuals. Proceedings of the 1998 IEEE International Conference on Evolutionary Computation, Piscataway, NJ: IEEE Press, pp.667-671, 1998.
    • (1998) Proceedings of the 1998 IEEE International Conference on Evolutionary Computation , pp. 667-671
    • Ghosh, A.1    Tsutsui, S.2    Tanaka, H.3
  • 12
    • 0033665641 scopus 로고    scopus 로고
    • Dynamic distributed genetic algorithms
    • Piscataway, NJ: IEEE Press
    • W.Yi, Q.Liu, Y.He, Dynamic Distributed Genetic Algorithms, Congress on Evolutionary Computations, Piscataway, NJ: IEEE Press, pp. 1132-1136, 2000.
    • (2000) Congress on Evolutionary Computations , pp. 1132-1136
    • Yi, W.1    Liu, Q.2    He, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.