Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019)

Research on Synergetic Evolution of Weapon Equipment System

Authors
Xinhua He, Hao Cheng, Ruitao Zou, Weihao Zhang, Juan Liu
Corresponding Author
Xinhua He
Available Online April 2019.
DOI
10.2991/smont-19.2019.53How to use a DOI?
Keywords
synergy; weapon equipment system; combat capability; DE-CA model
Abstract

The non-linear cooperative interaction between various types of weapons and equipment in the weaponry system is the root cause of combat capability. In the process of system evolution, all kinds of weapons and equipment in the system will spontaneously adjust their own state and evaluate the rules of other weapons and equipment according to the evolutionary needs of the system. Therefore, this paper proposes a cellular automaton model which improved by differential evolution algorithm to study and analyze the internal synergy mechanism in the process of weapon capability generation. Finally, analyze and studie the specific examples to verify the feasibility of the model.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019)
Series
Advances in Intelligent Systems Research
Publication Date
April 2019
ISBN
978-94-6252-712-6
ISSN
1951-6851
DOI
10.2991/smont-19.2019.53How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xinhua He
AU  - Hao Cheng
AU  - Ruitao Zou
AU  - Weihao Zhang
AU  - Juan Liu
PY  - 2019/04
DA  - 2019/04
TI  - Research on Synergetic Evolution of Weapon Equipment System
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019)
PB  - Atlantis Press
SP  - 238
EP  - 242
SN  - 1951-6851
UR  - https://doi.org/10.2991/smont-19.2019.53
DO  - 10.2991/smont-19.2019.53
ID  - He2019/04
ER  -