DocumentCode
3062208
Title
Transformation Function Method for Unconstrained Global Optimization
Author
Huang, Zhiyong ; Shang, Youlin ; Wang, Fengye
Author_Institution
Math. & Stat. Sch., Henan Univ. of Sci. & Technol., Luoyang, China
fYear
2012
fDate
23-26 June 2012
Firstpage
307
Lastpage
310
Abstract
In order to find global minimizer, a transformation function without any parameters is proposed for solving unconstrained global optimization problems. This transformation function method is based on a similar idea to the filled function method. The properties of the transformation function are discussed in the region where the objective function values are not higher than the obtained minimum. Based on these properties, we can determine whether or not the current local minimizer is the global minimizer. An algorithm for unconstrained global optimization is developed from this transformation function.
Keywords
optimisation; filled function method; global minimizer; transformation function; unconstrained global optimization; Algorithm design and analysis; Classification algorithms; Educational institutions; Level set; Minimization; Optimization; global minimizer; level set; transformation function; unconstrained global optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4673-1365-0
Type
conf
DOI
10.1109/CSO.2012.75
Filename
6274733
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