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
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;
Conference_Titel :
Advanced Mechatronic Systems (ICAMechS), 2013 International Conference on
Conference_Location :
Luoyang
Print_ISBN :
978-1-4799-2518-6
DOI :
10.1109/ICAMechS.2013.6681783
