Optimization of the Critical Slip Surface of Three-Dimensional Slope by Using an Improved Genetic Algorithm

作     者：Zhou, X. P. Huang, X. C. Zhao, X. F. 

作者机构：Chongqing Univ State Key Lab Coal Mine Disaster Dynam & Control Chongqing 400045 Peoples R China Hunan Univ Sci & Technol Sch Civil Engn Xiangtan 411201 Peoples R China Chongqing Univ Key Lab New Technol Construct Cities Mt Area Chongqing 400045 Peoples R China 

出 版 物：《INTERNATIONAL JOURNAL OF GEOMECHANICS》 (国际地质力学杂志)

年 卷 期：2020年第20卷第8期

核心收录：

学科分类：08[工学] 0818[工学-地质资源与地质工程] 0813[工学-建筑学] 0814[工学-土木工程] 

基　　金：National Natural Science Foundation of China [51909087, 51679017] Research Fund of Hunan University of Science and Technology [E51975] Open Fund of National Engineering Laboratory of Highway Maintenance Technology (Changsha University of Science Technology) [kfj190107] Scientific Research Projects of Hunan Education Department [18K064] 

主　　题：Improved genetic algorithm Three-dimensional slope Critical slip surface Safety factor Rigorous limit equilibrium method 

摘      要：An improved genetic algorithm is proposed to optimize the potential sliding surface of slopes. Compared with a conventional genetic algorithm, the genetic recombination between the previous generation and the newly generated population around the local optimal individual of the previous generation is performed in the improved genetic algorithm, while the genetic recombination between the previous generations is performed in the conventional genetic algorithm. The improved genetic algorithm has the advantage of faster convergence than the conventional genetic algorithm. Moreover, the rigorous limit equilibrium method is applied to define the safety factor of slopes. Two examples are illustrated to prove the efficiency of the improved genetic algorithm.