| Summary: | Discrete-Event Simulation is a common and powerful tool in real world decision making, used to model systems which can not be represented analytically. Considering the likelihood of multiple objectives occurring in complex systems a framework has been designed to enable the optimization of the output from multi-objective simulation models. The SimMOp methodology intelligently combines the model with a heuristic search algorithm featuring a multi-objective optimization technique with relational database technologies. The methodology is designed to obtain solutions from a dual perspective, determining the optimal solutions, based on definitions from an optimization approach, and also to take into consideration the stochasticity that will exist within all simulation model output data.
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