A filled function method for constrained global optimization

被引：0
|
作者：
Z. Y. Wu
F. S. Bai
H. W. J. Lee
Y. J. Yang
机构：
[1] Chongqing Normal University,School of Mathematics and Computer Science
[2] The Hong Kong Polytechnic University,Department of Applied Mathematics
[3] Shanghai University,Department of Mathematics
[4] University of Ballarat,School of Information Technology and Mathematical Sciences
来源：
Journal of Global Optimization | 2007年 / 39卷
关键词：
Filled function; Filled function method; Constrained global optimization;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, a filled function method for solving constrained global optimization problems is proposed. A filled function is proposed for escaping the current local minimizer of a constrained global optimization problem by combining the idea of filled function in unconstrained global optimization and the idea of penalty function in constrained optimization. Then a filled function method for obtaining a global minimizer or an approximate global minimizer of the constrained global optimization problem is presented. Some numerical results demonstrate the efficiency of this global optimization method for solving constrained global optimization problems.
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页码：495 / 507
页数：12
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