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作 者:王小辉[1] 张涛[2] 陈春燕[1] Wang Xiaohui;Zhang Tao;Chen Chunyan(R&D Department,China Academy of Launch Vehicle Technology,Beijing 100076,China;School of Software,Northwestern Polytechnical University,Xi′an 710025,China)
机构地区:[1]中国运载火箭技术研究院研究发展中心,北京100076 [2]西北工业大学软件学院,陕西西安710025
出 处:《电子技术应用》2024年第7期71-77,共7页Application of Electronic Technique
摘 要:为了满足无人机多任务模式的要求,有效实现任务重构,对多任务模式下综合电子系统的重构问题进行研究,提出一种基于改进飞蛾扑火优化算法的重构算法。根据综合电子系统重构模型和重构算法,设计了多任务可重构综合电子系统。针对改进的飞蛾扑火优化算法进行了仿真实验,并对实验结果进行分析验证,与差分进化算法和标准飞蛾扑火优化算法进行对比实验。实验证明重构算法通过对多目标进行优化,能够快速迭代生成高质量的重构蓝图,满足了综合电子系统的多任务模式需求。In order to meet the requirements of UAV multi-mission mode and effectively realize mission reconfiguration,this paper researches the reconfiguration problem of integrated electronic system in multi-mission mode and proposes a reconfiguration algorithm based on the improved moth-flame optimization algorithm.According to the integrated electronic system reconfiguration model and reconfiguration algorithm,the multi-mission reconfigurable integrated electronic system is designed.The simulation experiment is conducted for the improved moth-flame optimization algorithm,and the results are analyzed and verified to compare the experiment with the differential evolutionary algorithm and the standard mothballing optimization algorithm.The experiment proves that the reconfiguration algorithm is able to generate high-quality reconfiguration blueprints quickly and iteratively by optimizing multi-objectives,which meets the multitasking mode requirements of integrated electronic systems.
分 类 号:TP311[自动化与计算机技术—计算机软件与理论]
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