Genetic Algorithms for Model Optimization
نویسندگان
چکیده
An emerging, yet extremely important topic in simulation application and research is simulation optimization. Emphasis in the literature, in professional conferences, and particularly in commercial software packages underscore the importance of simulation optimization. We address this topic in a more general, model optimization venue. In particular we describe the use of a genetic algorithm in a pure meta-heuristic role to search the space of model parameter settings to find a “best” set of parameter settings. We discuss three specific applications of a genetic algorithm meta-heuristic applied to a model optimization task.
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