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A new algorithm for constrained global optimization based on filled function

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3 Author(s)
Weixiang Wang ; Dept. of Math., Shanghai Second Polytech. Univ., Shanghai ; Youlin Shang ; Liansheng Zhang

In this paper, we propose a filled function method for constrained global optimization. This filled function contains only one parameter which is easily to be chosen. Then we investigate the properties of this function and design a new algorithm based on this function. Last, we make a numerical test. The numerical results show the efficiency of this global optimization method.

Published in:

Audio, Language and Image Processing, 2008. ICALIP 2008. International Conference on

Date of Conference:

7-9 July 2008