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作者机构:School of Information Science and EngineeringHunan Institute of Science and TechnologyYueyang 414006China College of Systems EngineeringNational University of Defense TechnologyChangsha 410000China
出 版 物:《Journal of Systems Engineering and Electronics》 (系统工程与电子技术(英文版))
年 卷 期:2022年第33卷第4期
页 面:1010-1024页
核心收录:
学科分类:08[工学] 0826[工学-兵器科学与技术] 082602[工学-兵器发射理论与技术]
基 金:supported by the Natural Science Foundation of Hunan Province (2020JJ4339) the Scientific Research Fund of Hunan Provincial Education Department (20B272)
主 题:anti-ship missile path planning firepower distribution cooperation weapon-target assignment(WTA) coupled
摘 要:Anti-ship missile coordinated attack mission planning is a complex multi-objective optimization problem with multiple combinations of platforms, strong decision-making constraints,and tightly coupled links. To avoid the coupling disorder between path planning and firepower distribution and improve the efficiency of coordinated attack mission planning, a firepower distribution model under the conditions of path planning is established from the perspective of decoupling optimization and the algorithm is implemented. First, we establish reference coordinate system of firepower distribution to clarify the reference direction of firepower distribution and divide the area of firepower distribution;then, we construct an index table of membership of firepower distribution to obtain alternative firepower distribution plans;finally, the fitness function of firepower distribution is established based on damage income, missile loss,ratio of efficiency and cost of firepower distribution, and the mean square deviation of the number of missiles used, and the alternatives are sorted to obtain the optimal firepower distribution plan. According to two simulation experiments, the method in this paper can effectively solve the many-to-many firepower distribution problem of coupled path planning. Under the premise of ensuring that no path crossing occurs, the optimal global solution can be obtained, and the operability and timeliness are good.