Ling, A.-F., Xu, C.-X. and Xua, F.-M. (2008) A Discrete Filled Function Algorithm for Approximate Global Solutions of Max-Cut Problems. Journal of Computational and Applied Mathematics, 220, 643-660.
http://dx.doi.org/10.1016/j.cam.2007.09.012

has been cited by the following article:

• TITLE: A New Filled Function with One Parameter to Solve Global Optimization

  AUTHORS: Hongwei Lin, Huirong Li

  KEYWORDS: Global Optimization, Filled Function Method, Smoothing Technique, Global Minimize, Local Minimizer

  JOURNAL NAME: Open Journal of Optimization, Vol.4 No.1, March 18, 2015

  ABSTRACT: In this paper, a new filled function with only one parameter is proposed. The main advantages of the new filled function are that it not only can be analyzed easily, but also can be approximated uniformly by a continuously differentiable function. Thus, a minimizer of the proposed filled function can be obtained easily by using a local optimization algorithm. The obtained minimizer is taken as the initial point to minimize the objective function and a better minimizer will be found. By repeating the above processes, we will find a global minimizer at last. The results of numerical experiments show that the new proposed filled function method is effective.