水资源与水工程学报2013，Vol.24Issue(1)：96-99,4.
混沌粒子群优化算法在确定含水层参数中的应用
Application of chaos particle swarm optimization algorithms to estimation of aquifer parameters
摘要
Abstract
Taking taylor's formula for example, the paper applied chaos partiele swarm optimization algorithm to analyze pumping test daga so as to slove the function optimization problem of parameters in aquifer. Through particle swarm optimization algorithm in the initial position and fine search process the chaotic sequence was added. The numerical experiment results show that the CPSO algorithms are effective to solve the aquifer parameter function optimization problem; the influence of particle increase on the convergence of chaos particle swarm optimization algorithms are not obvious; the initial value of conductivity selecting different multiples embodied that chaos particle swarm optimization algorithm is superior to the convergence of particle swarm optimization algorithms. To apply the CPSO algorithms to determining the aquifer parameters is feasible.关键词
混沌寻优/粒子群优化/抽水实验数据/含水层参数Key words
chaos optimization/ particle swarm optimization/ pumping test data/ aquifer parameters分类
建筑与水利引用本文复制引用
周秀秀,常安定,郭建青,王久杰..混沌粒子群优化算法在确定含水层参数中的应用[J].水资源与水工程学报,2013,24(1):96-99,4.基金项目
中央高校基本科研业务费专项资金(CHD2012TD015) （CHD2012TD015）
