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
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;
Conference_Titel :
Advanced Mechatronic Systems (ICAMechS), 2013 International Conference on
Conference_Location :
Luoyang
Print_ISBN :
978-1-4799-2518-6
DOI :
10.1109/ICAMechS.2013.6681717
