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Volumn , Issue , 2008, Pages 33-36

Efficiency competition on N-queen problem: DE vs. CMA-ES

Author keywords

[No Author keywords available]

Indexed keywords

BIOELECTRIC PHENOMENA; COMBINATORIAL MATHEMATICS; COMBINATORIAL OPTIMIZATION; COVARIANCE MATRIX; DIGITAL ARITHMETIC; HEALTH; TECHNOLOGY; VECTORS;

EID: 51849112435     PISSN: 08407789     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCECE.2008.4564490     Document Type: Conference Paper
Times cited : (10)

References (20)
  • 2
    • 33644955800 scopus 로고    scopus 로고
    • Design of triangular fbg filter for sensor applications using covariance matrix adapted evolution algorithm
    • S. Baskar, P. Suganthan, N. Ngo, A. Alphones, and R. Zheng. Design of triangular fbg filter for sensor applications using covariance matrix adapted evolution algorithm. Optics Communications, 260(2):716-722, 2006.
    • (2006) Optics Communications , vol.260 , Issue.2 , pp. 716-722
    • Baskar, S.1    Suganthan, P.2    Ngo, N.3    Alphones, A.4    Zheng, R.5
  • 4
  • 5
    • 27144520222 scopus 로고    scopus 로고
    • Improved differential evolution algorithms for handling noisy optimization problems
    • Napier University, Edinburgh, UK, September
    • S. Das, A. Konar, and U. Chakraborty. Improved differential evolution algorithms for handling noisy optimization problems. In Proceedings of IEEE Congress on Evolutionary Computation Conference, pages 1691-1698, Napier University, Edinburgh, UK, September 2005.
    • (2005) Proceedings of IEEE Congress on Evolutionary Computation Conference , pp. 1691-1698
    • Das, S.1    Konar, A.2    Chakraborty, U.3
  • 8
    • 0029722015 scopus 로고    scopus 로고
    • Adapting arbitrary normal mutation distributions in evolution strategies: The covariance matrix adaptation
    • N. Hansen and Ostermeier. Adapting arbitrary normal mutation distributions in evolution strategies: The covariance matrix adaptation. In IEEE International Conference on Evolutionary Computation, pages 312-317, 1996.
    • (1996) IEEE International Conference on Evolutionary Computation , pp. 312-317
    • Hansen, N.1    Ostermeier2
  • 9
    • 4344707250 scopus 로고    scopus 로고
    • Learning probability distributions in continuous evolutionary algorithms - a comparative review
    • S. Kern, S. Müller, N. Hansen, D. Büche, J. Ocenasek, and P. Koumoutsakos. Learning probability distributions in continuous evolutionary algorithms - a comparative review. Natural Computing, 3(1):77-112, 2004.
    • (2004) Natural Computing , vol.3 , Issue.1 , pp. 77-112
    • Kern, S.1    Müller, S.2    Hansen, N.3    Büche, D.4    Ocenasek, J.5    Koumoutsakos, P.6
  • 17
    • 5544301508 scopus 로고    scopus 로고
    • Advanced high turning compressor airfoils for low reynolds number condition. Part I: Design and Optimization
    • T. Sonoda, Y. Yamaguchi, T. Arima, M. Olhofer, B. Sendhoff, and H. Schreiber. Advanced high turning compressor airfoils for low reynolds number condition. Part I: Design and Optimization. Journal of Turbomachinery, 126:350-359, 2004.
    • (2004) Journal of Turbomachinery , vol.126 , pp. 350-359
    • Sonoda, T.1    Yamaguchi, Y.2    Arima, T.3    Olhofer, M.4    Sendhoff, B.5    Schreiber, H.6
  • 19
    • 0142000477 scopus 로고    scopus 로고
    • Differential evolution: A simple and efficient heuristic for global optimization over continuous spaces
    • R. Storn and K. Price. Differential evolution: A simple and efficient heuristic for global optimization over continuous spaces. Journal of Global Optimization, 11:341-359, 1997.
    • (1997) Journal of Global Optimization , vol.11 , pp. 341-359
    • Storn, R.1    Price, K.2
  • 20
    • 0031259478 scopus 로고    scopus 로고
    • A simulated annealing artificial neural network implementation of the N-queens problem
    • T. Tambouratzis. A simulated annealing artificial neural network implementation of the N-queens problem. International Journal of Intelligent Systems, 12:739-752, 1997.
    • (1997) International Journal of Intelligent Systems , vol.12 , pp. 739-752
    • Tambouratzis, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.