Comparison of Selected Optimization Methods Used for Discrete Event Simulation Models and Testing Functions

Pavel Raska; Ulrych Zdenek

doi:10.4028/www.scientific.net/AMR.816-817.629

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 816-817Comparison of Selected Optimization Methods Used...

Comparison of Selected Optimization Methods Used for Discrete Event Simulation Models and Testing Functions

Abstract:

The paper deals with the comparison of selected optimization methods - Random Search, Hill Climbing, Tabu Search, Local Search, Downhill Simplex, Simulated Annealing, Differential Evolution and Evolution Strategy-used to search for the global optimum of the objective function specified for each simulation model. These optimization methods have to be modified in such a way that they are applicable for discrete event simulation optimization purposes. Three discrete event simulation models were built (using ARENA simulation software) which reflect real industrial systems. Then the optimization methods were tested on four testing functions. The evaluation method which uses information from the box plot characteristics was specified.

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Periodical:

Advanced Materials Research (Volumes 816-817)

Pages:

629-633

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.816-817.629

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Online since:

September 2013

Authors:

Pavel Raska, Ulrych Zdenek

Keywords:

Discrete Event Simulation, Heuristic Methods, Simulation Optimization

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References

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