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Volumn , Issue , 2010, Pages 287-310

Using entropy for parameter analysis of evolutionary algorithms

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EID: 79960482603     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-3-642-02538-9_12     Document Type: Chapter
Times cited : (13)

References (31)
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    • Holland, J.1
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    • 15544390134 scopus 로고    scopus 로고
    • The estimation of distributions and the minimum relative entropy principle
    • Muhlenbein H, Hons R (2005) The estimation of distributions and the minimum relative entropy principle. Evolutionary Computation 13(1):1-27.
    • (2005) Evolutionary Computation , vol.13 , Issue.1 , pp. 1-27
    • Muhlenbein, H.1    Hons, R.2
  • 23
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    • Efficient relevance estimation and value calibration of evolutionary algorithm parameters
    • IEEE
    • Nannen V, Eiben AE (2007a) Efficient Relevance Estimation and Value Calibration of Evolutionary Algorithm Parameters. In: IEEE Congress on Evolutionary Computation, IEEE, pp 103-110.
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    • Nannen, V.1    Eiben, A.E.2
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    • (2008) PPSN , pp. 528-538
    • Nannen, V.1    Smit, S.2    Eiben, A.3
  • 29
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    • Parameter sweeps for exploring parameter spaces of genetic and evolutionary algorithms
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    • Samples M, Byom M, Daida J (2007) Parameter sweeps for exploring parameter spaces of genetic and evolutionary algorithms. In: Lobo F, Lima C, Michalewicz Z (eds) Parameter Setting in Evolutionary Algorithms, Springer, pp 161-184.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.