基于改进遗传算法的定位问题研究

Research on location problem based on improved genetic algorithm

本文提出了一种基于物体影子随时间变化关系进行定位的新型定位方法。通过物体影长的模型与时间的函数关系,建立了基于最小二乘法的优化模型,并采用了遗传算法进行寻优求解,同时对遗传算法进行了一定改进,得到了较传统遗传算法更优的解答,得到的定位精度也较高。

The paper proposes a new method based on the relationship of object shadow with time. The optimization model based on theleast square method is established by means of function relation between the model and the time of object shadow, and the geneticalgorithm is used to solve the optimization. At the same time, the genetic algorithm is improved to get the solution better than thetraditional genetic algorithm, which has the higher positioning accuracy.