DocumentCode
653046
Title
An integral global optimization algorithm for mixed programming problem
Author
Yirong Yao ; Manli Zhang ; Quan Zheng
Author_Institution
Dept. of Math., Shanghai Univ., Shanghai, China
fYear
2013
fDate
25-27 Sept. 2013
Firstpage
229
Lastpage
232
Abstract
An integral approach for finding global minimizer of mixed programming problem is proposed. Towards this goal, a Q-measure space is preliminarily constructed. Some properties of the method are examined in this paper. Furthermore, optimality conditions and algorithm are given. And some numerical tests are reported to show the the feasibility of the method.
Keywords
integer programming; Q-measure space; integral global optimization algorithm; mixed programming problem; Educational institutions; Extraterrestrial measurements; Level set; Minimization; Optimization; Programming; Robustness; Integral global optimization; Mixed programming problem; Optimality conditions; Robust analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Mechatronic Systems (ICAMechS), 2013 International Conference on
Conference_Location
Luoyang
Print_ISBN
978-1-4799-2518-6
Type
conf
DOI
10.1109/ICAMechS.2013.6681783
Filename
6681783
Link To Document