利用GA-SA混合优化算法求解含水层参数  

A GA-SA Hybrid Optimizing Algorithm for Inversing Aquifer Parameters

作　　者：张娟娟[1] 邓晓颖[1,2] 李西宁 杨慧灵[1] 任伟[1] 

机构地区：[1]河南省地质矿产勘查开发局第二水文地质工程地质队,河南郑州450053 [2]中国地质大学,湖北武汉430074 [3]青海省环境地质勘查局,青海西宁810007

出　　处：《人民黄河》2011年第8期70-71,74,共3页Yellow River

基　　金：河南省国土资源厅2008年省级探矿权采矿权使用费及价款(地勘基金)地质勘查项目(豫财招标采购[2009]56号)

摘　　要：针对模拟退火算法串行优化能力差的问题,将具有并行搜索能力的遗传算法,用于引入到模拟退火算法中,并将两者结合组成遗传模拟退火算法,用于求解含水层参数反演的优化问题。遗传模拟退火算法充分发挥了遗传算法和模拟退火算法的优点,是一种优化能力更强、更高效、可靠性较高的优化方法。实际算例表明,遗传模拟退火算法用于含水层参数反演是可行的。Considering the poor serial optimization ability of simulation-annealing algorithm,the genetic algorithm,which can make parallel searching,is introduced into it.This genetic-simulated-annealing algorithm was applied into seeking aquifer parameters.The combination strategy inherits the advantages of genetic algorithm and simulation-annealing algorithm,which improving the searching ability and overcoming the shortcomings of these two algorithms.Therefore,it＇s a preferable algorithm having better optimization ability,higher efficiency and reliability.Application of the hybrid method in practice shows that the proposed method is applicable to hydro-geological parameters identification.

关 键 词：遗传算法 模拟退火算法 遗传模拟退火算法 含水层参数 

分 类 号：P641.12[天文地球—地质矿产勘探]