DocumentCode
652980
Title
A hierarchical sequence deviation integral algorithm for multi-objective optimization
Author
Liyuan Zeng ; Yirong Yao ; Quan Zheng
Author_Institution
Dept. of Math., Shanghai Univ., Shanghai, China
fYear
2013
fDate
25-27 Sept. 2013
Firstpage
619
Lastpage
623
Abstract
To study the multi-objective optimization, the concept of related step length is proposed firstly. Based on integral global optimization theory, a hierarchical sequence deviation integral algorithm is given and its optimality condition is proved in this work. Algorithm is implemented by a properly designed Monte-carlo simulation. Numerical tests are given to show the feasibility of the method.
Keywords
Monte Carlo methods; integral equations; optimisation; Monte-carlo simulation; hierarchical sequence deviation integral algorithm; integral global optimization theory; multiobjective optimization; Algorithm design and analysis; Educational institutions; Minimization; Optimization; Robustness; Vectors; Deviation integral; Hierarchical sequence method; Monte-carlo technique; Multi-objective optimization;
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.2013.6681717
Filename
6681717
Link To Document