改进的粒子群算法及其在土坡临界滑动面搜索中的应用

首先,提出了一种新型的模拟任意滑动面的方法,该法能自动产生运动许可的滑动面。同时,针对基本粒子群优化算法存在计算量大的缺点,提出了一种改进的,即不连续飞行粒子群优化算法。利用Spencer法计算滑动面的安全系数,对几个复杂土坡的最小安全系数及其对应的滑动面进行了分析,并与国内外已有结果进行了比较,证明了改进粒子群优化算法和模拟滑动面的新方法是合理、有效的,可用于复杂优化问题的研究。

Modified Particle Swarm Optimization Algorithm and Its Application to the Search For the Critical Slip Surface of Soil Slopes

A new procedure is presented to generate kinematically acceptable slip surface of general shape.The modified,i.e.,discontinuous flying particle swarm optimization algorithm(DFPSO) is proposed to avoid the severe time consuming occurred in the original particle swarm optimization algorithm.Spencer's method of slices is adopted to calculate the factor of safety of given slip surface.Several example slopes with complicated geometries and loading cases are examined to demonstrate the efficiency and validity of the new method.The results obtained by this study are compared with those reported in existing literatures and it can be concluded that the DFPSO can perform well for the complex optimization problems.