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2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2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2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 par ticle swa rm optimizatio n alg o rithm has slow converg ence, pr ematur ity , and lo cal minimum pro blems; therefo re, the sim plex method alg or ithm w as combined with the part icle sw arm alg or ithm to develop a hy br id algo rithm called simplex2 par ticle sw arm algo rit hm g iv en that the simplex met ho d algo rithm has stro ng lo cal search ability. Based on the analy tical so lu2 tions to unst eady w ell flow pro blems in t he fir st ty pe leakage system, the simplex2part icle sw arm alg or ithm w as emplo yed to an2 alyze the pumping test data in o rder to determine aquifer par ameters. Numerical results show ed that the simplex2particle sw arm alg or ithm can analyze the pumping test dat a effectively for the estimation of aquifer par ameters, and this met ho d has stro ng local sear ch ability , fast calculation abilit y, rapid co nv erg ence rate, and hig h accuracy.

国家自然科学基金( 11171043)