Global Optimization and Filled Function Method

Journal Title: Scholars Journal of Physics, Mathematics and Statistics - Year 2015, Vol 2, Issue 1

Abstract

Traditional nonlinear programming method is only used to educe the local optimization but fails to successfully solve global optimization problem. Filled function method combines itself with local minimization algorithm which has been applied maturely, so it is popular with workers. The knowledge of the background and development of filled function method can determine the future research direction, but many problems require being further researched if the filled function method is developed into a mature global optimization method [1-3].

Authors and Affiliations

Lintao Guo

Keywords

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  • EP ID EP384384
  • DOI -
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How To Cite

Lintao Guo (2015). Global Optimization and Filled Function Method. Scholars Journal of Physics, Mathematics and Statistics, 2(1), 84-87. https://europub.co.uk/articles/-A-384384