改进鼠群优化算法在地下岩体破裂事件定位中的应用研究

Application of improved rat swarm optimization algorithm in underground rock fracture event location

在地质灾害监测过程中,地下岩体破裂事件的定位是实时监测的一项关键技术。针对传统的定位方法均存在着不同程度的误差,为了减小事件定位的误差,提高定位精度,提出了一种改进鼠群优化算法用于地下岩体破裂事件的定位,以提高岩体的定位精度。首先,将Levy飞行策略引入鼠群优化算法中,以增强算法的局部搜索能力和全局寻优能力;其次,采用时差定位(Time difference of arrival,TDOA)方法建立目标函数,将目标函数作为算法的适应度函数进行岩体破裂事件定位;最后,验证了该算法的有效性和可行性,与其他定位算法比较,本算法定位精度较高,并且具有较好的鲁棒性和收敛性。

In geological disaster monitoring,the location of underground rock mass fracture events is a critical real-time monitoring technology.In order to reduce the error of event location and improve the location accuracy,an improved rat swarm optimization algorithm is proposed for the location of underground rock fracture events to improve the location accuracy of the rock mass.Firstly,the Levy flight strategy is introduced into the rat swarm optimization algorithm to enhance the algorithm's local search ability and global optimization ability.Secondly,the Time Difference Of Arrival(TDOA) method is used to establish the objective function,which is used as the algorithm's fitness function to locate the rock mass fracture event.Finally,the effectiveness and feasibility of the algorithm are verified.The algorithm has higher positioning accuracy,better robustness,and convergence than other positioning algorithms.