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土壤结构参数的测量与反演是接地设计中的重要环节。为此基于求解土壤分层模型电位分布的高阶复镜像法以及土壤模型结构反演的原理,开发了基于直接搜索法的土壤分层结构反演算法。进而在人工蜂群算法的基础上,加入混沌搜索算子和混沌池,提出了1种用于土壤分层结构反演的混沌池人工蜂群算法,增强了反演算法的局部搜索能力和全局搜索能力。计算表明,较用于反演土壤分层结构的遗传算法,提出的算法拥有更小的反演误差,最大可以将反演的均方根误差缩小到遗传算法的1/10。通过对比几种基于直接搜索的算法,证明了该算法在收敛速度以及寻优能力上的优势,比遗传算法更加适合作为土壤结构反演的算法。
Soil structure parameters of the measurement and inversion is an important part of grounding design. Therefore, based on the principle of high-order complex image method to solve the potential distribution of soil stratified model and the inversion of soil model structure, an inversion algorithm of soil stratified structure based on direct search method was developed. Based on the artificial bee colony algorithm, chaos pool search operator and chaos pool are added, and a chaotic pool artificial bee colony algorithm for soil layer structure inversion is proposed, which enhances the local search ability of the inversion algorithm and the global Search ability. The results show that the proposed algorithm has less inversion error than the genetic algorithm used to invert the soil stratification structure and can reduce the root mean square error of the inversion to 1/10 of the genetic algorithm. By comparing several algorithms based on direct search, the advantages of the algorithm in convergence speed and optimization ability are proved, which is more suitable than the genetic algorithm as the algorithm of soil structure inversion.