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基于压缩粒子群算法的水雷策略优化研究 被引量:2

Optimization study of the mine-laying strategy on the basis of the particle swarm optimization algorithm with compression factor
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摘要 为研究目标水域内有限水雷数目的雷阵封锁概率问题,本文运用粒子群优化算法对水雷布阵策略进行优化,建立了计入水雷布放特性的雷阵封锁概率数学模型,验证了数学模型的有效性。针对有限目标水域,为优化布雷数量,采用带压缩因子的粒子群优化算法(CFPSO)对水雷发射坐标进行优化。研究结果表明:目标舰船以均匀概率方式通过雷阵时,采用CFPSO算法优化后的水雷布设方式相比2种传统布设方式均能提高雷阵的封锁概率;针对单艘目标舰船,基于CFPSO算法优化后雷阵仅需7枚水雷即可达到期望封锁概率0.6,其水雷利用率较均匀布设方式提升12.5%;而针对3艘舰船编队,基于CFPSO算法优化后雷阵需要30枚水雷即达到封锁概率,其水雷利用率较均匀布设方式提升14.3%。 To analyze the blockage probability of a minefield with a finite number of mines in the target water area,the particle swarm optimization algorithm was used to optimize the mine-laying strategy.A mathematical model of the blockage probability of a minefield,which accounts for the dispersion characteristic of a mine,was established,and the validity of the mathematical model was verified.For the finite target water area,the particle swarm optimization algorithm with compression factor(CFPSO)was used to optimize the number and launch coordinates of mines.The research results show that,when the target warship passes through a minefield under the uniform probability method,the mine-laying method optimized by the CFPSO algorithm can improve the blockage probability compared with two traditional mine-laying methods.For a single target warship,the minefield based on the CFPSO algorithm can reach the expected blockage probability of 0.6 with only seven mines,and the mine utilization rate is increased by 12.5%compared with the uniform mine-laying method.For a fleet with 3 warships,the minefield based on the CFPSO algorithm can reach the expected blockage probability with 30 mines,and the mine utilization rate is increased by 14.3%compared with the uniform mine-laying method.
作者 刘启庆 李强 蔡尚 王诗平 康有为 LIU Qiqing;LI Qiang;CAI Shang;WANG Shiping;KANG Youwei(College of Shipbuilding Engineering,Harbin Engineering University,Harbin 150001,China;Beijing Institute of Space Long March Vehicle,Beijing 100076,China;China International Marine Containers Offshore Engineering Co. Ltd.,Shenzhen 518000,China)
出处 《哈尔滨工程大学学报》 EI CAS CSCD 北大核心 2019年第7期1230-1237,共8页 Journal of Harbin Engineering University
基金 国家自然科学基金项目(51879052,11672082) 深圳市专项基金项目(JCYJ20160331163751413)
关键词 布雷策略 粒子群优化算法 概率模型 散布特性 发射坐标 目标舰船 毁伤概率 mine-laying strategy particle swarm optimization algorithm probability model dispersion characteristic launch coordinate target warship damage probability
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