摘要
针对粒子群优化算法后期存在的收敛速度慢、早熟、易陷入局部极小等问题,将局部搜索能力强的单纯形算法和粒子群算法结合,构造单纯形-粒子群混合算法。以第一类越流系统情况下的非稳定井流问题的解析解为基础,将单纯形-粒子群混合算法应用于分析抽水试验数据,计算含水层参数的问题。数值实验结果表明:单纯形-粒子群混合算法能有效地应用于分析抽水试验数据,确定含水层参数,且具有局部搜索能力强、运算速度快和计算精度高等优点。
The particle swarm optimization algorithm has slow convergence, prematurity, and local minimum problems; therefore, the sim plex method algorithm w as combined with the part icle sw arm algorithm to develop a hybrid algorithm called simplex-particle sw arm algorit hm given that the simplex met hod algorithm has strong local search ability. Based on the analytical solu-tions to unst eady w ell flow problems in t he first type leakage system, the simplex-part icle sw arm algorithm w as employed to an-alyze the pumping test data in order to determine aquifer parameters. Numerical results show ed that the simplex-particle sw arm algorithm can analyze the pumping test dat a effectively for the estimation of aquifer parameters, and this met hod has strong local search ability, fast calculation abilit y, rapid convergence rate, and high accuracy.
出处
《南水北调与水利科技》
CAS
CSCD
北大核心
2015年第4期729-732,755,共5页
South-to-North Water Transfers and Water Science & Technology
基金
国家自然科学基金(11171043)
关键词
越流系统
含水层参数
单纯形算法
粒子群算法
混合算法
leakage system
aquifer parameters
simplex algorithm
particle swarm algorithm
hybrid algorithm
