A Filter-Filled Function Method for Global Optimization with Box Constraints

2017 3rd International Conference on Applied Materials and Manufacturing Technology

Ji, Hongxia^1 ; Tian, Zhiyuan^1 ; Gu, Yunxia^1

School of Mathematics and Statistics, Qingdao University, Qingdao

266071, China^1

关键词: Filled function algorithms;    Filled function method;    Filter techniques;    Global optimization problems;    Local optimization algorithm;    Numerical results;    Penalty parameters;    Single parameter;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/242/1/012130/pdf
DOI  :  10.1088/1757-899X/242/1/012130

来源: IOP

【 摘 要 】

A single parameter filled function for solving global optimization problems with box constraints is proposed and its properties are investigated. The filter technique avoids the difficulty of selecting the penalty parameter and has a good numerical results in the local optimization algorithm. The filter is introduced and combined with the filled function to form the filter-filled function algorithm in this paper. The numerical results illustrate that the algorithm is reliable and effective.