ITM Web Conf.
Volume 26, 20192018 International Conference on Computer Science and Education Technology (CSET 2018)
|Number of page(s)||4|
|Section||Modeling and Simulation|
|Published online||04 February 2019|
Optimal Control Methods of Experiment Times in System-of-Systems Combat Computer Simulation
1 Science and Technology on Complex Land Systems Simulation Laboratory, Beijing, China, 100012
2 Southwest Computer Co., Ltd, Chongqing, China, 400060
a Zhao Zhiqiang: firstname.lastname@example.org
In the process of scheme optimization, in order to eliminate the influence of random factor, it needs to conduct computer simulation of Monte Carlo. Therefore, it is proposed to introduce confidence interval into systemof-systems combat simulation, and confirm whether the Monte Carlo simulation finishes according to data sample generated in simulation process. According to characteristic of data sample, extend correspondingly confidence interval method, and under the condition of obtaining the solution meeting accuracy requirements, reduce simulation experiment times as far as possible. The simulation experiment results show that confidence interval extension method is able to possess self-adaptation control to Monte Carlo simulation.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.