果蝇优化算法在边坡最小安全系数搜索中的应用

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 algo-rithm,and introduce the hybridization operation in genetic algorithms to form a mixed fruit fly optimization algo-rithm.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 mini-mum factor of safety in slope stability.