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Volumn 2009-January, Issue , 2009, Pages 2197-2200

Using performance fronts for parameter setting of stochastic metaheuristics

Author keywords

evolutionary computation; metaheuristics; multi objective optimization; parameter setting; performance assessment

Indexed keywords

CALCULATIONS; EVOLUTIONARY ALGORITHMS; HEURISTIC ALGORITHMS; PARAMETER ESTIMATION; STOCHASTIC SYSTEMS;

EID: 85014490702     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1570256.1570301     Document Type: Conference Paper
Times cited : (19)

References (13)
  • 1
    • 33750037384 scopus 로고    scopus 로고
    • Experimental Research in Evolutionary Computation: The New Experimentalism
    • Springer
    • T. Bartz-Beielstein. Experimental Research in Evolutionary Computation: The New Experimentalism. Natural Computing Series. Springer, 2006.
    • (2006) Natural Computing Series
    • Bartz-Beielstein, T.1
  • 4
    • 3543137178 scopus 로고    scopus 로고
    • Paradiseo: A framework for the reusable design of parallel and distributed metaheuristics
    • S. Cahon, N. Melab, and E. G. Talbi. Paradiseo: A framework for the reusable design of parallel and distributed metaheuristics. Journal of Heuristics, 10(3):357-380, 2004.
    • (2004) Journal of Heuristics , vol.10 , Issue.3 , pp. 357-380
    • Cahon, S.1    Melab, N.2    Talbi, E.G.3
  • 10
    • 9444231507 scopus 로고    scopus 로고
    • The 3rd international planning competition: Results and analysis
    • D. Long and M. Fox. The 3rd international planning competition: Results and analysis. Journal of Artificial Intelligence Research, 20:1-59, 2003.
    • (2003) Journal of Artificial Intelligence Research , vol.20 , pp. 1-59
    • Long, D.1    Fox, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.