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Volumn 2009-January, Issue , 2009, Pages 2389-2395

Benchmarking a BI-population CMA-ES on the BBOB-2009 function testbed

Author keywords

Benchmarking; Black box optimization; CMA ES; Evolutionary computation

Indexed keywords

BUDGET CONTROL; CALCULATIONS; EVOLUTIONARY ALGORITHMS; OPTIMIZATION; POPULATION STATISTICS; TESTBEDS;

EID: 85009984129     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1570256.1570333     Document Type: Conference Paper
Times cited : (138)

References (9)
  • 2
    • 77955891392 scopus 로고    scopus 로고
    • Real-parameter black-box optimization benchmarking 2009:
    • Technical Report 2009/20, Research Center PPE
    • S. Finck, N. Hansen, R. Ros, and A. Auger. Real-parameter black-box optimization benchmarking 2009: Presentation of the noiseless functions. Technical Report 2009/20, Research Center PPE, 2009.
    • (2009) Presentation of The Noiseless Functions
    • Finck, S.1    Hansen, N.2    Ros, R.3    Auger, A.4
  • 5
    • 77955891392 scopus 로고    scopus 로고
    • Real-parameter black-box optimization benchmarking 2009: Noiseless functions definitions
    • Technical Report RR-6829, INRIA
    • N. Hansen, S. Finck, R. Ros, and A. Auger. Real-parameter black-box optimization benchmarking 2009: Noiseless functions definitions. Technical Report RR-6829, INRIA, 2009.
    • (2009)
    • Hansen, N.1    Finck, S.2    Ros, R.3    Auger, A.4
  • 6
    • 35048900140 scopus 로고    scopus 로고
    • Evaluating the CMA evolution strategy on multimodal test functions
    • X. Yao et al., editors, Springer
    • N. Hansen and S. Kern. Evaluating the CMA evolution strategy on multimodal test functions. In X. Yao et al., editors, Parallel Problem Solving from Nature - PPSN VIII, LNCS 3242, pages 282–291. Springer, 2004.
    • (2004) Parallel Problem Solving from Nature - PPSN VIII, LNCS , vol.3242 , pp. 282-291
    • Hansen, N.1    Kern, S.2
  • 7
    • 0042879997 scopus 로고    scopus 로고
    • Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES)
    • N. Hansen, S. D. Müller, and P. Koumoutsakos. Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES). Evolutionary Computation, 11(1):1–18, 2003.
    • (2003) Evolutionary Computation , vol.11 , Issue.1 , pp. 1-18
    • Hansen, N.1    Müller, S.D.2    Koumoutsakos, P.3
  • 8
    • 59749085404 scopus 로고    scopus 로고
    • A method for handling uncertainty in evolutionary optimization with an application to feedback control of combustion
    • N. Hansen, A. Niederberger, L. Guzzella, and P. Koumoutsakos. A method for handling uncertainty in evolutionary optimization with an application to feedback control of combustion. IEEE Transactions on Evolutionary Computation, 13(1):180–197, 2009.
    • (2009) IEEE Transactions on Evolutionary Computation , vol.13 , Issue.1 , pp. 180-197
    • Hansen, N.1    Niederberger, A.2    Guzzella, L.3    Koumoutsakos, P.4
  • 9
    • 0035377566 scopus 로고    scopus 로고
    • Completely derandomized self-adaptation in evolution strategies
    • N. Hansen and A. Ostermeier. Completely derandomized self-adaptation in evolution strategies. Evolutionary Computation, 9(2):159–195, 2001.
    • (2001) Evolutionary Computation , vol.9 , Issue.2 , pp. 159-195
    • Hansen, N.1    Ostermeier, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.