Simulation Based Model Experimentation with Minimum Solving Strategy

The process of model experimentation can be regarded as repeatedly evaluating simulation models by varying parameters of the model. At present, the solvers of simulation tools usually need to calculate all the coupling blocks during every simulating run after parameters varying. In order to greatly improve the efficiency of the process of repetitious simulation, a new method named minimum solving strategy is proposed and implemented. By this method, carrying out model experimentation with different parameters values only need to calculate the solving sequence influenced by parameters altering.