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Volumn 2, Issue , 2002, Pages 2017-2022

Dynamic optimization by evolutionary algorithms applied to financial time series

Author keywords

[No Author keywords available]

Indexed keywords

FINANCIAL DATA PROCESSING; MULTIOBJECTIVE OPTIMIZATION;

EID: 33751376330     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2002.1004553     Document Type: Conference Paper
Times cited : (6)

References (15)
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    • Naval research Laboratory, Washington,USA
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    • (1990) Thechnical Report
    • Cobb, H.G.1
  • 4
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    • Lecture Note In Artificial Intelligence
    • K. De Jong. Evolving in a Changing World, volume 1609 of Lecture Note In Artificial Intelligence.
    • Evolving in A Changing World , vol.1609
    • De Jong, K.1
  • 5
    • 0002645923 scopus 로고
    • Nonstationary function optimization using genetic algorithms with dominance and diploid
    • D.E. Goldberg and R.E. Smith. Nonstationary function optimization using genetic algorithms with dominance and diploid. In 2nd International Conference on genetic Algorithms, pages 59-68, 1987.
    • (1987) 2nd International Conference on Genetic Algorithms , pp. 59-68
    • Goldberg, D.E.1    Smith, R.E.2
  • 8
    • 84958948525 scopus 로고    scopus 로고
    • Adaptation to a changing environments by means of the thermodynamical genetic algorithm
    • Springer
    • N. Mori, H. Kita, and Y. Nishikawa. Adaptation to a changing environments by means of the thermodynamical genetic algorithm. In Parallel Problem Solving from Nature 1141, pages 513-522. Springer, 1996.
    • (1996) Parallel Problem Solving from Nature , vol.1141 , pp. 513-522
    • Mori, N.1    Kita, H.2    Nishikawa, Y.3
  • 9
    • 0002831542 scopus 로고    scopus 로고
    • The behavior of spatially distributed evolutionary algorithms in non-stationary environments
    • J. Sarma and K. De Jong. The behavior of spatially distributed evolutionary algorithms in non-stationary environments. In 1999Genetic and Evolutionary Computation Conference GECCO, pages 572-578, 1999.
    • (1999) 1999Genetic and Evolutionary Computation Conference GECCO , pp. 572-578
    • Sarma, J.1    De Jong, K.2
  • 10
    • 4344568849 scopus 로고    scopus 로고
    • Multinational gas: Multimodal optimization techniques in dynamic environments
    • R.K. Ursem. Multinational gas: Multimodal optimization techniques in dynamic environments. In 2000Genetic and Evolutionary Computation Conference GECCO, pages 19-26, 2000.
    • (2000) 2000Genetic and Evolutionary Computation Conference GECCO , pp. 19-26
    • Ursem, R.K.1
  • 11
    • 84903588334 scopus 로고    scopus 로고
    • The aspect of multiobjective optimization on adaptation under dynamic environment
    • Japan Society For Software Science abd Technology
    • K. Yamasaki. The aspect of multiobjective optimization on adaptation under dynamic environment. In ,9th Workshop on Multi-Agent and Cooperative Computation, pages-. Japan Society For Software Science abd Technology, 2000.
    • (2000) 9th Workshop on Multi-Agent and Cooperative Computation
    • Yamasaki, K.1
  • 13
    • 84903608855 scopus 로고    scopus 로고
    • Genetic algorithms under dynamic environment
    • K. Yamasaki. Genetic algorithms under dynamic environment, technical Report of 1E1CE, 101(66):55-62, 2001.
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    • The problem of adaptation against dynamic environments should include two configuation
    • The Society of instrument and control Engineers
    • K. Yamasaki. The problem of adaptation against dynamic environments should include two configuation. In 13th Symposium on Decentralized Autonomous Systems, pages 383-388. The Society of instrument and control Engineers, 2001.
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    • Yamasaki, K.1
  • 15
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    • The problems under the dynamic environments need the consideration of the evaluation standard between the environments that are changing
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.