基于人工鱼群算法的测量平差参数估计

Adjustment Parameter Estimation Based on Artificial Fish-Swarm Algorithm

介绍人工鱼群算法原理和算法设计的相关技术问题。把人工鱼群算法应用到测量平差中,解决平差过程中遇到的法方程系数阵秩亏、病态方程等问题。给出了在测量平差参数估计中利用人工鱼群算法,不对法方程求逆的情况下,对误差方程直接进行寻优求解的思想和步骤。通过实例模拟计算,证明该方法在测量平差计算中是可行的和有效的。

The relevant technology of the artificial fish algorithm principle and algorithm design problems are intro- duced in the paper. The artificial fish algorithm is applied to the measurement adjustment to solve encountered in the process of adjustment of normal equation coefficient matrix rank, morbid equations and so on. The thought and steps of the error equation directly solving are given in measurement adjustment parameter estimation using artificial fish algo- rithm, wrong method equation under the condition of inversion, optimization was carried out on the error equation directly solving. Through the example simulation, proved that the method in the measurement adjustment calculation is feasible and effective.