改进的人工蜂群算法及其在坐标转换七参数计算中的应用

The improved artificial bee colony algorithm and its application in calculating seven parameters of coordinate transformation

人工蜂群(artificial bee colony,简称ABC)算法是模拟蜂群在采蜜过程中所表现的群体智能行为来实现对实际问题求解的相对较新的优化技术.针对ABC算法收敛速度慢和容易陷入局部最优的缺点,结合坐标转换七参数计算的特点,作者对ABC算法的初始解的确定和观察蜂阶段选择策略进行了改进,并将此改进的ABC算法应用到坐标转换七参数的计算中.通过与其他两种方法计算的七参数进行坐标转换的精度对比实验,验证了论文方法计算的七参数实现了更高精度的WGS-84坐标系与BJ-54坐标系坐标的转换.

Artificial bee colony （ABC） algorithm is a relatively new optimization technique that simulated in the process of honey swarm intelligence behavior to solve the practical problem. In view of the algorithm convergence speed was slow and the shortcoming of easily plunged into local optimum, considering the properties of seven parameters calculating in coordinate transformation, the improvements were proposed for ABC algorithm in the initialization of solution and the calculating of selection probability in onlooker bee phase. The improved ABC algorithm was applied to calculating seven parameters of coordinate transformation. The tests compared the improved ABC algorithm with the existing two methods for the calculating seven parameters were made. The results showed that using the seven parameters calculated by the improved ABC algorithm could give a more accurate coordinate transformation of WGS-84 system and BJ-54 system.