| Issue |
MATEC Web Conf.
Volume 277, 2019
2018 International Joint Conference on Metallurgical and Materials Engineering (JCMME 2018)
|
|
|---|---|---|
| Article Number | 03004 | |
| Number of page(s) | 7 | |
| Section | Material and Mechanics | |
| DOI | https://doi.org/10.1051/matecconf/201927703004 | |
| Published online | 02 April 2019 | |
C3I cooperative decision system simulation and optimization based on genetic algorithm for surface warship formation
College of Systems Engineering, National University of Defense Technology, Changsha, Hunan, P.R.China
* Corresponding author: zhwyang@nudt.edu.cn
The C3I cooperative decision system is the guarantee for combat capabilities of surface warship formations. At present, research on the C3I system simulation lays more emphasis on finding structural logic defects by executing the simulation model, lacking the application of intelligent optimization algorithms to optimize parameters in the system. In this paper, the cooperative decision-making process of surface warship formation defense system is studied. Meanwhile, modelling and optimization methods for cooperative decision system are proposed. Based on simulation models built on the ExtendSim platform, this paper optimizes the staffing strategy of decision makers based on the genetic algorithm, to improve the per capita decision efficiency. The optimized staffing strategy meets objectives and requirements. The research in this paper can provide a scientific and objective reference for relevant decision-makers and researchers.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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