果蝇优化算法在边坡最小安全系数搜索中的应用  

The Application of FOA in Searching for Minimum Safety Factor of Slope

作　　者：贺子光[1] 赵法锁[1,2] 武斌[1] 汪班桥[1] 段钊[3] 

机构地区：[1]长安大学地质工程与测绘学院,陕西西安710054 [2]西部地质资源与地质工程教育部重点实验室,陕西西安710054 [3]西安科技大学地质与环境学院,陕西西安710054

出　　处：《灾害学》2015年第4期29-33,共5页Journal of Catastrophology

基　　金：国家自然科学基金应急管理项目(41440021);陕西省科技计划项目(s2012s F3082);西安科技大学博士启动基金项目(2014QDJ029)

摘　　要：提出将果蝇优化算法结合简化Bishop法对边坡最小安全系数进行搜索,针对基本果蝇优化算法局部寻优精度不高且易陷入局部最优的缺点,提出将果蝇优化算法和具有很强局部搜索能力的单纯型法相结合,并借鉴遗传算法中的杂交操作,以克服基本果蝇算法存在的不足。算例计算结果表明:果蝇优化算法是一种简洁、高效的边坡最小安全系数搜索方法,改进后的果蝇优化算法具有更高的收敛精度和可靠性,为边坡最危险滑动面搜索和最小安全系数的计算提供了一种新的全局求解策略。A new method combining fruit fly optimization algorithm with simplified Bishop Method is presented to search minimum safety factor of slope. In order to overcome the shortcoming of easily relapsing into local optimal solution and low convergence precision,we propose combining the fruit fly optimization algorithm with simplex algorithm,and introduce the hybridization operation in genetic algorithms to form a mixed fruit fly optimization algorithm. Results of practical examples show that the fruit fly optimization algorithm is a simple and efficient method for searching minimum safety factor,and improved mixed method has higher convergence accuracy and reliability.Thus,a concise effective global strategy is provided for searching the critical slip surface and calculating the minimum factor of safety in slope stability.

关 键 词：边坡 果蝇优化算法 单纯型法 杂交操作 最小安全系数 

分 类 号：TU323[建筑科学—结构工程] X43[环境科学与工程—灾害防治]