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A new filled function method for global optimization

Author

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  • Gao, Yuelin
  • Yang, Yongjian
  • You, Mi

Abstract

A new definition of the filled function is presented in this paper. Based on the definition, a new filled function is presented, and a global optimization algorithm is developed. The implementation of the algorithm on several test problems is reported with satisfactory numerical results. The numerical experiments further show that the algorithm may solve higher dimensional global optimization problems.

Suggested Citation

  • Gao, Yuelin & Yang, Yongjian & You, Mi, 2015. "A new filled function method for global optimization," Applied Mathematics and Computation, Elsevier, vol. 268(C), pages 685-695.
  • Handle: RePEc:eee:apmaco:v:268:y:2015:i:c:p:685-695
    DOI: 10.1016/j.amc.2015.06.090
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    References listed on IDEAS

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    1. Z. Y. Wu & L. S. Zhang & K. L. Teo & F. S. Bai, 2005. "New Modified Function Method for Global Optimization," Journal of Optimization Theory and Applications, Springer, vol. 125(1), pages 181-203, April.
    2. W. X. Zhu, 2008. "Dynamic Globally Concavized Filled Function Method for Continuous Global Optimization," Journal of Optimization Theory and Applications, Springer, vol. 139(3), pages 635-648, December.
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    Cited by:

    1. Pandiya, Ridwan & Widodo, Widodo & Salmah, & Endrayanto, Irwan, 2021. "Non parameter-filled function for global optimization," Applied Mathematics and Computation, Elsevier, vol. 391(C).

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