基于改进粒子群算法的坝体位移监控模型

Dam Deformation Forecasting Model Based on Improved Particle Swarm Algorithm

在基本粒子群算法的基础上,提出了一种基于以e为底的指数函数的惯性权重策略的改进粒子群算法。将粒子群算法引入大坝安全监控领域,并结合坝体位移的多元回归统计模型,建立基于改进粒子群算法的大坝安全监控模型,并应用于新安江大坝的安全监测。实际应用表明,改进粒子群算法与最小二乘法、基本粒子群算法相比,预报结果精度较高且收敛速度较快。

Based on the basic particle swarm algorithm,an improved particle swarm algorithm is put forward for the weight strategy of the exponential function with e inertia for bottom.A dam deformation forecasting model is established based on the improved particle swarm algorithm and the traditional multi statistical regression model,which is used in Xin＇anjiang dam＇s safety monitoring.The application in practical engineering shows that the improved particle swarm algorithm is better than the least square method and basic particle swarm algorithm in fast convergence and high accuracy.