| 基于粒子群优化算法的AIS船舶状态比例计算 |
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| 引用本文： | 信召举,马社祥,李丽萍.基于粒子群优化算法的AIS船舶状态比例计算[J].天津理工大学学报,2011,27(2):13-16,20. |
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| 作者姓名： | 信召举 马社祥 李丽萍 |
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| 作者单位： | 天津理工大学计算机与通信工程学院,天津,300384 |
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| 摘 要： | 在船舶自动识别系统(Automatic Identification System)中,如果知道系统范围内的船舶状态比例就能够对系统的通信性能进行详细的分析.船舶状态比例计算问题可以归结为带有约束条件的最优化问题.粒子群优化算法(Particle Swarm Optimization)作为一种最新的优化算法,具有简单易实现,可调参数少等优点,将其与惩罚函数法相结合来处理约束条件,可以应用到AIS系统船舶状态比例的求解.经过大量实验计算并与实际数据进行比较表明,该方法在迭代次数和收敛精度上都取得了良好的效果.
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| 关 键 词： | 粒子群算法 船舶状态比例 惩罚函数法 |
Condition ratio calculation of the AIS ship based on particle swarm optimization |
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| XIN Zhao-ju,MA She-xiang,LI Li-ping.Condition ratio calculation of the AIS ship based on particle swarm optimization[J].Journal of Tianjin University of Technology,2011,27(2):13-16,20. |
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| Authors: | XIN Zhao-ju MA She-xiang LI Li-ping |
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| Institution: | XIN Zhao-ju,MA She-xiang,LI Li-ping(School of Computer and Communications Engineering,Tianjin University of Technology,Tianjin 300384,China) |
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| Abstract: | The ratio of ship condition is the important factor in system performance of Automatic Identification System(AIS).Particle swarm optimization(PSO) algorithm is easy to realize and has few adjustable parameters etc,applied to solve the ratio of AIS ship condition,and using mixed penalty function method to achieve the constraint condition of operation.After a lot of experimental results show that the method in the iteration convergence precision and are achieved good effect. |
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| Keywords: | particle swarm optimization ship condition ratio penalty function |
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