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Volumn , Issue , 2010, Pages 401-408

Tuning optimization algorithms for real-world problems by means of surrogate modeling

Author keywords

Experimental study; Parameter tuning; Surrogate model

Indexed keywords

EXPERIMENTAL STUDIES; META HEURISTICS; METAHEURISTIC; OBJECTIVE FUNCTIONS; OPTIMIZATION ALGORITHMS; PARAMETER-TUNING; REAL-WORLD PROBLEM; STRUCTURAL CHARACTERISTICS; SURROGATE MODEL; SURROGATE MODELING;

EID: 77955911177     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1830483.1830558     Document Type: Conference Paper
Times cited : (18)

References (20)
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    • Single- And multi-objective evolutionary optimization assisted by gaussian random field metamodels
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    • Nikolaus Hansen and Stefan Kern. Evaluating the cma evolution strategy on multimodal test functions. In X. Yao, H.-P. Schwefel, et al., editors, Parallel Problem Solving from Nature - PPSN VIII, Proc. Eighth Int'l Conf., Birmingham, pages 282-291, Berlin, 2004. Springer.
    • (2004) Parallel Problem Solving from Nature - PPSN VIII, Proc. Eighth Int'l Conf., Birmingham , pp. 282-291
    • Hansen, N.1    Kern, S.2
  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.