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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Route Planning of Underwater Long-range Weapon Based on an Improved PSO Algorithm

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。
- 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
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 long-range weapon.
- underwater long-range weapon /
- partical swarm optimization(PSO)algorithm /
- route planning /
- particle exchange /
- combat simulation system

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