A new parameter-free filled function for unconstrained global optimization

摘要：

Many real life problems can be modeled as nonlinear global optimization problems. Such problems often have multiple local minima and thus require global optimization methods. One of the more recent global optimization tools is known as the filled function method which is a promising way used in unconstrained global optimization. Several filled functions with one or two parameters have already been suggested in the literatures. A new parameter-free filled function different from An 2004, Journal of Shanghai University is proposed in this paper. The algorithm and numerical results of test functions are reported for comparison.

关键词： filled function local minimizer global minimizer optimization problem nonlinear programming

作者: Youlin Shang Pu Li Hailing Xie

作者单位: Department of Mathematics Henan University of Science and Thchnology Luoyang,China School of Mathematics and Statistics Henan University of Science and Thchnology Luoyang,China

会议类型: 国际会议

会议名称: The Third International Joint Conference on Computational Science and Optimization(第三届计算科学与优化国际大会 CSO 2010)

会议地点: 黄山

会议语种:英文

页码: 65-69

在线出版日期: 2010-05-28（万方平台首次上网日期，不代表论文的发表时间）