WSC '95 Proceedings of the 27th conference on Winter simulation
Automating the process of building simulation models
WSC '95 Proceedings of the 27th conference on Winter simulation
Knowledge-based distributed simulation generator
ANSS '92 Proceedings of the 25th annual symposium on Simulation
Model generation issues in a simulation support environment
WSC' 90 Proceedings of the 22nd conference on Winter simulation
Validation of an Automated System Model Generator
IEEE Transactions on Knowledge and Data Engineering
Prophesy: Automating the Modeling Process
AMS '01 Proceedings of the Third Annual International Workshop on Active Middleware Services
Representation of simulation model components for model generation and a model library
SS '96 Proceedings of the 29th Annual Simulation Symposium (SS '96)
Designing simulation experiments
WSC '04 Proceedings of the 36th conference on Winter simulation
New advances and applications for marrying simulation and optimization
WSC '04 Proceedings of the 36th conference on Winter simulation
Interactive presentation: Automatic model generation for black box real-time systems
Proceedings of the conference on Design, automation and test in Europe
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In the automotive area, a huge number of different technologies were developed in the last couples of years. The car manufacturers have to meet the challenge of selecting the most suitable components for their purpose. One way of doing so is to evaluate these components by the help of a car simulation model. Because of the huge number of different technologies, also a lot of simulation models are needed to be able to compare all of those innovative technologies. In this paper, a system is described, with which it is possible to automatically generate simulation models. This system is used to generate varied simulation models which represent different car configurations. After the generation of a model for each car configuration, a parameter optimization is automatically executed. The result is a chosen car simulation model with its set of parameters, which presents an optimal solution for the regarded aim, e.g. efficiency.