摘要
为提升联合投送任务规划方案的评价精度,研究影响联合快速投送任务设计的各影响因素,分析了联合投送任务规划方案的评估原则,构建了联合投送任务规划方案评估指标体系,建立了各评估指标在联合投送任务规划方案评估目标间的映射模型,给出了一个基于深度学习和群智能算法的联合投送任务规划实施方案智能评价模式.试验结果表明:该评估方法能够准确有效地评估联合投送任务规划方案.
In order to improve the evaluation accuracy of joint delivery mission planning scheme,each factor affecting the design of jointly fast delivery mission is studied,the joint delivery mission planning scheme is analyzed,the joint delivery mission planning evaluation index system is constructed,the mapping model for evaluating the targets of each evaluation index in the joint delivery mission planning scheme is established,and the intelligent evaluation mode of joint delivery mission planning implementation scheme based on deep learning and swarm intelligence algorithm is proposed.The experimental results show that the evaluation model method can accurately and effectively evaluate the joint delivery mission planning scheme.
作者
郭志明
高亮
叶军
刘天宇
乔虎
GUO Zhiming;GAO Liang;YE Jun;LIU Tianyu;QIAO Hu(China Research and Development Academy of Machinery Equipment,Beijing 100089,China;Unit 31306 of PLA,Chengdu Sichuan 610000,China;National University of Defense Technology,Changsha Hunan 410073,China;Xi’an Technological University,Xi’an Shaanxi 710021,China)
出处
《指挥与控制学报》
CSCD
2023年第1期58-65,共8页
Journal of Command and Control
基金
装备预先研究项目(41405010105)资助。
关键词
联合投送
任务规划
深度置信网络
集成评估
群智能优化
joint delivery
mission planning
deep belief networks
integration evaluation
swarm intelligence optimization