基于区块链的多先进战机协同作战资源自适应调度
作者:
作者单位:

1.南京航空航天大学自动化学院,南京211106;2.光电控制技术重点实验室,洛阳471000

作者简介:

通讯作者:

陈谋,男,教授,博士生导师,E-mail:chenmou@nuaa.edu.cn。

中图分类号:

TJ85;TP393

基金项目:

科技创新2030——“新一代人工智能”重大项目(2018AA0100800)。


Resource Adaptive Scheduling of Cooperative Combat for Multi-advanced Fighters Based on Blockchain
Author:
Affiliation:

1.College of Automation Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 211106, China;2.Science and Technology on Electro-Optic Control Laboratory, Luoyang 471000, China

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    摘要:

    对于多先进战机协同作战资源调度问题,需综合考虑先进战机的攻击能力和防御能力,以作战收益最大和代价最小为目标,给出最优资源调度方案,从而实现作战效能的最大化。本文针对资源调度问题中存在的先进战机间相互不信任进而导致作战效能降低的问题,提出了基于区块链的多先进战机协同作战资源调度框架,并基于智能合约建立了多先进战机协同作战资源调度数学模型,同时利用改进遗传算法进行求解。仿真结果表明,基于区块链的多先进战机协同作战资源自适应调度方法在保证先进战机间相互完全信任的基础上,确保了战场信息交互的安全性和可靠性,间接提升了作战效能。

    Abstract:

    To solve the resource scheduling problem of cooperative combat for multi-advanced fighters, the attack and defense capabilities of the advanced fighters should be comprehensively considered, and the optimal resource scheduling scheme should be given with the goal of maximizing the combat benefits and minimizing the cost. Then, the combat effectiveness can be maximized. This paper aims at the problem that the mutual distrust among advanced fighters leads to the decrease of combat effectiveness in resource scheduling, and proposes a framework based on blockchain for the cooperative combat resource scheduling of multi-advanced fighters. A mathematical model of cooperative combat resource scheduling is established based on smart contract for multi-advanced fighters. The improved genetic algorithm is used to solve this problem. The simulation results show that the resource adaptive scheduling method of cooperative combat based on blockchain for multi-advanced fighters ensures the security and reliability of battlefield information interaction, as well as the complete trust between the advanced fighters, and thus the combat effectiveness is improved.

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引用本文

吴诗平,陈谋,朱荣刚,贺建良.基于区块链的多先进战机协同作战资源自适应调度[J].南京航空航天大学学报,2022,54(6):1021-1029

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  • 收稿日期:2021-11-08
  • 最后修改日期:2022-03-15
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  • 在线发布日期: 2022-12-16
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