2013
EMSS 2013 Proceeding
Simulation optimizer and optimization methods testing on discrete event simulations models and testing functions
Authors: Pavel Raska, Zdenek Ulrych, Petr Horejsi
Abstract
The paper deals with testing of selected optimization methods used for optimization of specified objective functions of three discrete event simulation models and four selected testing functions. The developed simulation optimizer uses modified optimization methods which automatically adapt input parameters of discrete event simulation models. Random Search, Hill Climbing, Tabu Search, Local Search, Downhill Simplex, Simulated Annealing, Differential Evolution and Evolution Strategy were modified in such a way that they are applicable for discrete event simulation optimization purposes. The other part of the application is focused on testing the implemented optimization methods. We have proposed some evaluation techniques which express the success of the optimization method in different ways. These techniques use calculated box plot characteristics from the series of optimization experiments.
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