DocumentCode
550377
Title
Variable parameter verhulst model and its optimization based on GA
Author
Dai Wenzhan ; Li Yan ; Yan, Li
Author_Institution
Inst. of Autom. control, Zhejiang Sci-Tech Univ., Hangzhou, China
fYear
2011
fDate
22-24 July 2011
Firstpage
1505
Lastpage
1509
Abstract
The albino differential equation of grey Verhulst model is studied and an improved gray Verhulst model based on GA is proposed. Firstly, grey derivative is albinoed by using Lagrange mid-value theorem, a new kind of variable parameter Verhulst model is built. Then parameter is determined by optimization method based on genetic algorithm; Example shows that the new grey Verhulst model has higher precision then traditional Verhulst model.
Keywords
differential equations; genetic algorithms; grey systems; GA; Lagrange mid-value theorem; albino differential equation; genetic algorithm; grey Verhulst model; grey derivative; optimization method; variable parameter Verhulst model; Differential equations; Economics; Electronic mail; Genetic algorithms; Informatics; Mathematical model; Optimization; Genetic algorithm; Grey Verhulst model; Grey derivative; Lagrange´s mid-value value theorem; Prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2011 30th Chinese
Conference_Location
Yantai
ISSN
1934-1768
Print_ISBN
978-1-4577-0677-6
Electronic_ISBN
1934-1768
Type
conf
Filename
6000715
Link To Document