基于粒子群算法的水利类试算问题求解

Solution of Hydraulic Engineering Problem Based on Particle Swarm Optimization Algorithm

基于粒子群算法,提出水利工程试算问题的求解方法,与传统的迭代算法相比,此方法可以避免一些非线性复杂问题迭代公式的推算。最后应用该方法对实例进行了分析,结果证明了这种方法可以提高试算问题解的精度及求解效率,由于具有通用性,编制相关计算程序后,只需要更换其中的目标函数,即可完成复杂试算问题的求解,故具有良好的推广应用前景。

Based on particle swarm optimization algorithm method, the trial problem of water conservancy project is studied. Compared with the conventional iterative algorithm, this method can avoid some nonlinear complex problems for iterative formula calculation. Finally this method was applied to a real example. Results show that this method can improve the precision and efficiency of trial solutions. Because it is universal, after making the calculation program, only need to replace objective function, the complex computation problem can be completed. It has a good application prospect.