| 基于一种改进粒子群算法的水下远程武器航路规划 |
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| 引用本文： | 初磊,纪金耀,罗笛.基于一种改进粒子群算法的水下远程武器航路规划[J].鱼雷技术,2011,19(3):201-204. |
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| 作者姓名： | 初磊 纪金耀 罗笛 |
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| 作者单位： | 海军潜艇学院作战指挥系,山东,青岛,266071 |
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| 摘 要： | 针对水下远程武器航路规划中,采用基本粒子群算法避障出现的航路倒退问题,提出了一种借鉴遗传算法采用粒子对换的改进粒子群优化（PSO）算法,并结合远程武器的航路规划设计模型,应用于水下武器作战仿真系统。计算结果表明,该算法可有效提高远程武器航路规划避障的计算效果,对水下远程武器的作战使用研究具有一定的参考价值。
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| 关 键 词： | 水下远程武器 粒子群优化算法 航路规划 粒子对换 作战仿真系统 |
Route Planning of Underwater Long-range Weapon Based on an Improved PSO Algorithm |
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| CHU Lei,JI Jin-Yao,LUO Di.Route Planning of Underwater Long-range Weapon Based on an Improved PSO Algorithm[J].Torpedo Technology,2011,19(3):201-204. |
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| Authors: | CHU Lei JI Jin-Yao LUO Di |
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| Affiliation: | CHU Lei,JI Jin-Yao,LUO Di(Combat Command Department,Navy Submarine Academy,Qingdao 266071,China) |
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| Abstract: | An improved particle swarm optimization(PSO) algorithm with particle exchanging is proposed to solve the problem of moving back in the route planning of underwater long-range weapon based on basic PSO.Combining the route planning model of the underwater long-range weapon,this improved PSO algorithm is used in a combat simulation system of a certain long-range weapon.Simulation result shows that this algorithm can enhance the effect of the route planning and be helpful to the operational application of the l... |
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| Keywords: | underwater long-range weapon partical swarm optimization(PSO)algorithm route planning particle exchange combat simulation system |
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