Abstract
For reducing the sample size of costly simulation system, we propose a novel method named a two-stage simulation optimization method based on metamodel. A small sample is taken to get some useful information for reducing the search space. Then, several optimal values are achieved based on some metamodels of reduced spaces. Finally, the optimal solutions are taken into the simulation system to get the best solution. Six typical test functions are demonstrated that two-stage simulation method can reduce the running times effectively and the results are normally better than the classical metamodel-based simulation optimization method.
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Acknowledgements
This research is supported by the National Natural Science Foundation of China (Grant No. 61403097).
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Liu, Z., Li, W., Yang, M. (2016). A Two-Stage Simulation Optimization Method Based on Metamodel. In: Zhang, L., Song, X., Wu, Y. (eds) Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. AsiaSim SCS AutumnSim 2016 2016. Communications in Computer and Information Science, vol 646. Springer, Singapore. https://doi.org/10.1007/978-981-10-2672-0_9
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DOI: https://doi.org/10.1007/978-981-10-2672-0_9
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