With the sustained development in science and technology method of system optimization has more and more widely been applied to the area of science, technique, engineering, economy, etc. The optimization theory is strongly supported by the birth and the development of computers. System dynamics models are good at understanding complex systems with the characteristics of high-order, multi-loops and nonlinear (say socio-economic systems). The purpose of this paper is to combine the modeling process of a system dynamics model with the optimization method so as to make the system synthesis more perfect. Because of the specific properties of large scale systems, there are some serious difficulties in completely optimizing systems. In many cases, it is impossible to find an overall optimization for complex systems. However, the quasi-optimization for dynamic systems is still available. This paper develops some ideas of the parameter quasi-optimization for system dynamic models and presents a practical method. Its advantages include that the goal of the parameter quasi-optimization is clear, the precision is controllable, the quasi-optimal indices are conveniently regulated, the whole process can be automatically completed by a computer, repeating computations and simulations are not needed. Besides system synthesis, this method can also be applied to system analysis such as the parameter quasi-optimization after decoupling a system, selecting the dominant loops, separating the interest substructures, etc. The final goal of this paper is to make a solid fundation for a common used modeling software package.

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Date created

• 1987

Type

• Document

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• Processing documentation available at: https://wiki.albany.edu/display/SCA/Processing+Ingested+Digital+Files

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• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International

  
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System Dynamic Society Records

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Collecting area

• This collection is part of the University Archives