Constrained Global Minimization with Filled Function Method

Wei-xiang WANG, Ping HAN, You-lin SHANG

Abstract


This paper presents a filled function algorithm for constrained global minimization problems. The devised filled function contains only one parameter which could be adjusted easily during the iterations. The properties of the proposed filled function are discussed, and a filled function algorithm is given. At the end of the paper, a few numerical examples are included to show the effectiveness of the filled function algorithm.

Keywords


Nonlinear Programming, Constrained Global Minimization, Filled Function Method, Global Minimizer.


DOI
10.12783/dtem/eced2017/9864

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