基于随机粒子群算法的Van Genuchten方程参数优化求解

Optimized algorithm for estimating parameters by solving Van Genuchten equation based on stochastic particle swarm optimization

使用随机粒子群算法拟合土壤水分特征曲线并以此求解出V an G enuch ten方程参数。通过算例与其他优化算法比较,结果表明:随机粒子群算法具有运算速度快,编程简单,初值无关性,全局收敛和计算精度高等优点,可以作为计算V an G enuch ten方程参数的新方法。

Using stochastic particle swarm optimization, soil water characteristics curves were fitted and Van Genuchten equation parameters were solved. Comparing with other optimized algorithms through instance, it has many merits such as rapid calculation speed, simple programming, initial value non-sensitivity, general astringency and high precision, which can be used as a new method to calculate Van Genuchten equation parameters.