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
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;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
