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面向巡飞弹编队的战前筹划任务分配方法

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随着巡飞弹技术的广泛应用和执行任务的日益复杂,巡飞弹编队任务规划面临着新的挑战.以巡飞弹任务价值收益与任务损耗代价为优化目标,同时考虑任务执行时序等多种实际约束,构建基于多种约束条件的多巡飞弹战前筹划任务分配模型.为求解该模型,设计一种基于模拟退火的改进遗传算法,基于不同时期的种群适应度,调整自适应选择策略和自适应交叉策略,在保证收敛性的同时增加种群的多样性.最后通过案例验证所设计的改进算法在求解多巡飞弹任务分配问题上的有效性.
Prewar planning task assignment method for cruise missile formation
With the widespread application of cruise missile technology and the increasing complexity of mission execution,the mission planning of cruise missile formations is facing new challenges.A multi patrol missile pre war planning task alloca-tion model based on multiple constraints is constructed,with the optimization objectives of mission value return and mission loss cost,while considering various practical constraints such as task execution timing.To solve the model,an improved ge-netic algorithm based on simulated annealing is designed,which adjusts the adaptive selection strategy and adaptive crossover strategy based on the population fitness of different periods,ensuring convergence while increasing population diversity.Fi-nally,the effectiveness of the designed improved algorithm in solving the task allocation problem of multiple patrol missiles was verified through a case study.

patrol missile formationprewar planningfire distributionimproved genetic algorithm

曹成才、黄炎焱、孙鹏耀、吴奎

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南京理工大学自动化学院,江苏 南京 210014

江苏自动化研究所,江苏 连云港 222061

巡飞弹编队 战前筹划 任务分配 改进遗传算法

2024

指挥控制与仿真
中国船舶重工集团公司 第七一六研究所

指挥控制与仿真

CSTPCD
影响因子:0.309
ISSN:1673-3819
年,卷(期):2024.46(3)
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