经验自举和声算法及其在土坡稳定分析中的应用  

Harmony search algorithm with experiencing self-improving strategy and its application in slope stability analysis

作　　者：李亮[1] 褚雪松[1] 

机构地区：[1]青岛理工大学土木工程学院,山东青岛266033

出　　处：《中南大学学报（自然科学版）》2011年第11期3515-3520,共6页Journal of Central South University:Science and Technology

基　　金：国家自然科学基金资助项目(51008167);山东省高等学校科技计划项目(J10LE07);高等学校博士学科点专项科研基金资助项目(20103721120001)

摘　　要：为改善基本和声算法的搜索效率,将经验自举操作引入基本和声算法的搜索流程之中,通过设立经验自举操作和基本和声算法的交流通道来实现两者之间的信息共享,形成的混合搜索策略应用于土、边坡最危险滑动面的确定之中,通过分析2个典型土坡算例结果,比较分析基本和声算法和经验自举操作改良后的混合算法的搜索效率,证明经验自举操作的有效性以及混合搜索策略的可行性,经验自举和声算法新引入的参数β宜取较小值,综合考虑可取为0.1～0.3,另外经验自举和声算法对调节参数H和P的依赖性较低。In order to enhance the search efficiency of original harmony search algorithm,the experience of self-improving strategy was incorporated into the search steps of original harmony search algorithm.The information sharing between the original harmony search algorithm and experiencing self-improving strategy was performed by regular communication.The mixed search strategy was tested in the location of dangerous slip surfaces for soil and rock slopes.The comparison of results for two typical slopes demonstrates the validity of the experience self-improving strategy and the feasibility of mixed search procedure.The value of new parameter in harmony search algorithm with experiencing self-improving strategy is recommended to be between 0.1 and 0.3,and in addition,the dependence of the new method on the adjusting parameters is relatively low.

关 键 词：岩土工程 边坡稳定 和声算法 经验自举 安全系数 

分 类 号：TU441[建筑科学—岩土工程]