Simulation Optimization – Testing Selected Optimization Methods and their Setting of the Parameters

Pavel Raska; Ulrych Zdenek

doi:10.4028/www.scientific.net/AMR.980.198

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 980Simulation Optimization – Testing Selected...

Simulation Optimization – Testing Selected Optimization Methods and their Setting of the Parameters

Abstract:

The paper deals with testing optimization methods and their setting of the parameters used to search for the global optimum of specified objective functions. The objective functions were specified considering the objectives of the discrete event simulation models. We specified the evaluation methods considering the success of finding the global optimum (or the best found objective function value) the in defined search space. We tested Random Search, Hill Climbing, Tabu Search, Local Search, Downhill Simplex, Simulated Annealing, Differential Evolution and Evolution Strategy. After the testing we proposed some slight modifications of the Downhill Simplex and Differential Evolution optimization methods.

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Periodical:

Advanced Materials Research (Volume 980)

Pages:

198-202

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.980.198

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Online since:

June 2014

Authors:

Pavel Raska*, Ulrych Zdenek

Keywords:

Discrete Event Simulation, Optimization Methods Parameters Settings, Simulation Optimization, Testing Function

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* - Corresponding Author

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