Title :
Convergence and Dispersion in Intelligent Optimizers
Author :
Chen Jie ; Xin Bin ; Dou Li-hua
Author_Institution :
Dept. of Autom. Control, Beijing Inst. of Technol., China
Abstract :
Based on the evolution of intelligent optimizers, this paper proposes two attributes - convergence and dispersion that all integrated optimizers must have according to basic optimization theories. These two attributes are principal foundations to analyze and improve optimizers. In the end, the paper discusses the combination of mechanisms in optimizers according to the convergence and dispersion properties.
Keywords :
artificial intelligence; optimisation; convergence property; dispersion property; intelligent optimizers; optimization theories; Argon; Convergence; Hydrogen; IEEE catalog; Information science; Intelligent structures; Mechanical factors; Convergence and Dispersion; Intelligent Optimizer; Optimization;
Conference_Titel :
Control Conference, 2006. CCC 2006. Chinese
Conference_Location :
Harbin
Print_ISBN :
7-81077-802-1
DOI :
10.1109/CHICC.2006.280687
