A new algorithm for constrained global optimization based on filled function

Weixiang Wang*, Youlin Shang, Liansheng Zhang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationICALIP 2008 - 2008 International Conference on Audio, Language and Image Processing, Proceedings
Pages189-193
Number of pages5
DOIs
Publication statusPublished - 2008
Externally publishedYes
EventICALIP 2008 - 2008 International Conference on Audio, Language and Image Processing - Shanghai, China
Duration: 7 Jul 20089 Jul 2008

Publication series

NameICALIP 2008 - 2008 International Conference on Audio, Language and Image Processing, Proceedings

Conference

ConferenceICALIP 2008 - 2008 International Conference on Audio, Language and Image Processing
Country/TerritoryChina
CityShanghai
Period7/07/089/07/08

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