DocumentCode :
427519
Title :
Research on the policy optimization problems in system dynamics model
Author :
Li, Xu ; Lu, Chunxia
Author_Institution :
Sch. of Manage., Fudan Univ., Shanghai
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
224
Abstract :
System dynamics is an important approach and theory to explore the behaviors of complex system. The policy optimization problems in a system dynamics model, however, still follow the "cut-and-try" method, and are difficult to get the optimal solution satisfactorily. This paper studies the policy optimization in system dynamics model. Firstly, a general formulation of policy optimization problem in system dynamics models is presented by introducing a control policy function. Secondly, based on the general formulation presented above, a way to resolve the policy optimization problem with genetic algorithms is addressed. This paper has great significance both on the development of system dynamics theory and on the application of social economic system policy optimization
Keywords :
genetic algorithms; large-scale systems; optimal control; complex system; control policy function; genetic algorithm; policy optimization problem; social economic system; system dynamics model; Algorithm design and analysis; Blindness; Control systems; Decision making; Design methodology; Design optimization; Genetic algorithms; Optimal control; Optimization methods; Parameter estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
Conference_Location :
The Hague
ISSN :
1062-922X
Print_ISBN :
0-7803-8566-7
Type :
conf
DOI :
10.1109/ICSMC.2004.1398301
Filename :
1398301
Link To Document :
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