长江科学院院报2017，Vol.34Issue(1)：91-97,103,8.DOI:10.11988/ckyyb.20150985
改进GEP方法在边坡非圆临界滑动面搜索中的应用
Improved Genetic Expression Programming Applied to Searching for Non-circular Critical Slip Surface of Slope
摘要
Abstract
Genetic expression programming (GEP) is a new method of simulating the evolutional process of biology. It makes encoding more convenient and simple by combining the advantages of genetic algorithm and genetic pro-gramming. In this article, a mixed GEP is presented by introducing simplex algorithm and backtracking mechanism into GEP to improve local searching capability and avoid precociousness. On this basis, a new method which in-tegrates the mixed GEP algorithm and Imbalanced Thrust Force Method and takes safety factor as objective function is proposed to search for the non-circular critical slip surface. The results of two classical examples show that the proposed method could exactly find the non-circular critical slip surface and safety factor of slope. Moreover, the mixed GEP is superior to standard GEP in terms of local searching precision and global searching ability as well as convergence rate.关键词
边坡/临界滑动面/基因表达式编程/回溯机制/单纯形法Key words
slope/critical slip surface/GEP/backtracking mechanism/simplex algorithm分类
建筑与水利引用本文复制引用
贺子光,姚翔龙,赵法锁,汪班桥,段钊..改进GEP方法在边坡非圆临界滑动面搜索中的应用[J].长江科学院院报,2017,34(1):91-97,103,8.基金项目
国家自然科学基金应急管理项目(41440021) （41440021）
西部矿产资源与地质工程教育部重点实验室开放基金项目(310826151137) （310826151137）
陕西省科技计划项目( s2012sF3082) （ s2012sF3082）
