A generative simulation-optimization system
Computers and Industrial Engineering
An expert manufacturing simulation system
Simulation
Using artificial intelligence to facilitate manufacturing systems simulation
Computers and Industrial Engineering
An architecture of a knowledge-based simulation engine
WSC '94 Proceedings of the 26th conference on Winter simulation
Genetic algorithms in optimizing simulated systems
WSC '95 Proceedings of the 27th conference on Winter simulation
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Goal driven simulation (GDS) seeks to automate many of the output analysis and experimental design tasks of a simulation study. Theoretically, its use allows the reallocation of the simulation expert to other tasks. ODS capabilities include determining parameters to change, suggesting a rate of change, and testing these changes against a pre-established set of goals. Realizing GDS, however, requires the integration of techniques such as object oriented design, knowledge based systems, and neural nets. Before achieving this integration, there are still several issues to resolve including the type of interaction these techniques would have among themselves. This paper explores several of the issues concerning the realization of goal driven simulation systems, their impact on the simulation modeling methodology, how GDS works, and the need for its development.