DocumentCode
3393020
Title
The visually interval algorithm for the problem of the constraint global optimization
Author
Junyan Xu ; Xiaodan Wang ; Qinghuai Liu
Author_Institution
Sch. of Basic Sci., Changchun Univ. of Technol., Changchun, China
fYear
2011
fDate
19-22 Aug. 2011
Firstpage
998
Lastpage
1001
Abstract
This paper gave a visually interval algorithm for the global optimal solution to solve the problem of the constraint global optimization. This algorithm ensured that the problem cannot fall into the local optimal solution and improved the convergence speed through using local lipschitz constants. This paper proved the convergence of the algorithm, and numerical examples showed that the algorithm is feasible and effective.
Keywords
convergence; optimisation; constraint global optimization; convergence speed; local lipschitz constants; visually interval algorithm; Accuracy; Algorithm design and analysis; Convergence; Educational institutions; Optimization; Shape; Visualization; convergence; global optimization; interval algorithm; local lipschitz function;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location
Jilin
Print_ISBN
978-1-61284-719-1
Type
conf
DOI
10.1109/MEC.2011.6025633
Filename
6025633
Link To Document