Article | Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016 | An Improved Kriging Model based on Differential Evolution Linköping University Electronic Press Conference Proceedings
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Title:
An Improved Kriging Model based on Differential Evolution
Author:
Xiaobing Shang: Control and Simulation Center, Harbin Institute of Technology, P.R. China Ping Ma: Control and Simulation Center, Harbin Institute of Technology, P.R. China Ming Yang: Control and Simulation Center, Harbin Institute of Technology, P.R. China
DOI:
10.3384/ecp17142356
Download:
Full text (pdf)
Year:
2018
Conference:
Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Issue:
142
Article no.:
052
Pages:
356-361
No. of pages:
6
Publication type:
Abstract and Fulltext
Published:
2018-12-19
ISBN:
978-91-7685-399-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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Kriging model is a commonly interpolate approximation method which is widely used in the computer simulation in the past decade. The fitting accuracy is one of the fundamental problems in the research of kriging model, which can be summarized in two aspects, the accurate estimation of model’s parameters and approximate form selection of kriging model. In order to solve the existed problems, an improved parameter estimation method of kriging model base on differential evolution (DE) algorithm is set out in the present paper. Firstly, establish the objective function of DE algorithm depends on the estimation of the model’s accuracy, and get the optimum solution of model’s parameters under the initial condition. Then, a variety of regression function and correlation function in kriging models are selected to compare the fitting accuracy. Finally, the simulation case for outer ballistic data on electromagnetic railgun is examined to determine whether the improved method has priority over traditional one in the approximation accuracy.

Keywords: Kriging model, DE algorithm, approximation accuracy, EM railgun

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Xiaobing Shang, Ping Ma, Ming Yang
Title:
An Improved Kriging Model based on Differential Evolution
DOI:
http://dx.doi.org/10.3384/ecp17142356
References:
No references available

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Xiaobing Shang, Ping Ma, Ming Yang
Title:
An Improved Kriging Model based on Differential Evolution
DOI:
https://doi.org10.3384/ecp17142356
Note: the following are taken directly from CrossRef
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No citations available at the moment


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