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Volumn , Issue , 2007, Pages 394-399

Calibrating strategies for evolutionary algorithms

Author keywords

[No Author keywords available]

Indexed keywords

COST ADAPTIVE TECHNIQUES; PARAMETER CONTROL;

EID: 79955207157     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2007.4424498     Document Type: Conference Paper
Times cited : (5)

References (19)
  • 2
    • 0002796814 scopus 로고    scopus 로고
    • Understanding interactions among genetic algorithms parameters
    • K.Deb and S. Agrawal. Understanding Interactions among Genetic Algorithms Parameters In Foundations of Genetic Algorithms, Vol. 5, pp. 265-286, 1998
    • (1998) Foundations of Genetic Algorithms , vol.5 , pp. 265-286
    • Deb, K.1    Agrawal, S.2
  • 4
    • 35048863830 scopus 로고    scopus 로고
    • Evolutionary algorithms with on-the-fly population size adjustment PPSN VIII
    • A. E. Eiben, E. Marchiori and V.A. Valko. Evolutionary Algorithms with on-the-fly Population Size Adjustment PPSN VIII, Lecture Notes in Computer Science, Vol.3242, pp. 41-50, 2004.
    • (2004) Lecture Notes in Computer Science , vol.3242 , pp. 41-50
    • Eiben, A.E.1    Marchiori, E.2    Valko, V.A.3
  • 6
    • 84873992820 scopus 로고    scopus 로고
    • Controlling genetic algorithms with reinforcement learning department of computer science, university of exeter
    • J. Pettinger and R.Everson. Controlling Genetic Algorithms with Reinforcement Learning Department of Computer Science, University of Exeter, Technical Report EX4 4QF, UK, 2003.
    • (2003) Technical Report EX4 4QF, UK
    • Pettinger, J.1    Everson, R.2
  • 7
    • 40649088530 scopus 로고    scopus 로고
    • Inheriting parents operators: A new dynamic strategy to improve evolutionary algorithms foundations of intelligent systems, ISMIS'2002
    • M-C Riff and X. Bonnaire. Inheriting Parents Operators: A New Dynamic Strategy to improve Evolutionary Algorithms Foundations of Intelligent Systems, ISMIS'2002, Lectures Notes on Computer Science Vol. 2366, pp. 333-341, 2002.
    • (2002) Lectures Notes on Computer Science , vol.2366 , pp. 333-341
    • Riff, M.-C.1    Bonnaire, X.2
  • 8
    • 0003156745 scopus 로고    scopus 로고
    • Operator and parameter adaptation in genetic algorithms
    • J. Smith and T.C. Fogarty. Operator and parameter adaptation in genetic algorithms In Soft Computing, Vol. 1(2), pp. 81-87, 1997.
    • (1997) Soft Computing , vol.1 , Issue.2 , pp. 81-87
    • Smith, J.1    Fogarty, T.C.2
  • 9
    • 0032082089 scopus 로고    scopus 로고
    • Adapting operator settings in genetic algorithms
    • A. Tuson A. and P. Ross. Adapting Operator Settings in Genetic Algorithms In Evolutionary Computation, Vol.(6):2, pp. 161-184, 1998.
    • (1998) Evolutionary Computation , vol.6 , Issue.2 , pp. 161-184
    • Tuson A, A.1    Ross., P.2
  • 18
    • 33750380289 scopus 로고    scopus 로고
    • Performance Prediction and automated tuning of randomized and parametric algorithms 12th international conference on principles and practice of constraint programming, france
    • F. Hutter, Y. Hamadi, H. Hoos and K. Leyton-Brown Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms 12th International Conference on Principles and Practice of Constraint Programming, France, Lecture Notes in Computer Science, Vol. 4204, pp. 213-228, 2006.
    • (2006) Lecture Notes in Computer Science , vol.4204 , pp. 213-228
    • Hutter, F.1    Hamadi, Y.2    Hoos, H.3    Leyton-Brown, K.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.