计算机工程与应用2011，Vol.47Issue(35)：218-221,4.DOI:10.3778/j.issn.1002-8331.2011.35.061
基于混合粒子群的土壤水分特征曲线参数优化
Parameters optimization of soil water characteristic curve based on hybrid particle swarm algorithm
摘要
Abstract
Soil water characteristic curve is an important parameter of soil water movement.Van Genuchten equation (VG equation) is currently the most widely used soil water characteristic curve equation.The VG equation parameter calculation problem is transformed into a nonlinear optimization problem,and then builds the Hybrid Particle Swarm Optimization algorithm (HPSO) of Simplex Algorithm (SM) and Particle Swarm Optimization (PSO) combined is used to solve the nonlinear optimization problem.The simulation experiments results show that HPSO is greatly superior to genetic algorithm,hybrid genetic algorithms, PSO, not only improves the success rate of convergence and reduces the number of iterations of the algorithm, but also relaxes the range of parameters,the accuracy of HPSO in calculation parameters is higher than SM and the Damped Least Square method(DLS) and the initial parameter values are not given.关键词
土壤水分特征曲线/van Genuchten方程/单纯形算法/粒子群优化Key words
soil water retention curve/van Genuchten's equation/simplex method/particle swarm optimization分类
农业科技引用本文复制引用
刘利斌,欧阳艾嘉,乐光学,李肯立..基于混合粒子群的土壤水分特征曲线参数优化[J].计算机工程与应用,2011,47(35):218-221,4.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60603053,No.61070057) （the National Natural Science Foundation of China under Grant No.60603053,No.61070057）
国家自然科学基金重大研究计划(No.90715029) （No.90715029）
安徽省高校自然科学研究项目(KJ2011B112). （KJ2011B112）
