Discontinuous flying particle swarm optimization algorithm and its application to slope stability analysis  

作　　者：李亮 于广明 陈祖煜 褚雪松 

机构地区：[1]School of Civil Engineering,Qingdao Technological University [2]Department of Geotechnical Engineering,China Institute of Water Resources and Hydropower Research

出　　处：《Journal of Central South University》2010年第4期852-856,共5页中南大学学报（英文版）

基　　金：Project(50874064) supported by the National Natural Science Foundation of China;Key Project(Z2007F10) supported by the Natural Science Foundation of Shandong Province,China

摘　　要：A new version of particle swarm optimization(PSO) called discontinuous flying particle swarm optimization(DFPSO) was proposed,where not all of the particles refreshed their positions and velocities during each iteration step and the probability of each particle in refreshing its position and velocity was dependent on its objective function value.The effect of population size on the results was investigated.The results obtained by DFPSO have an average difference of 6% compared with those by PSO,whereas DFPSO consumes much less evaluations of objective function than PSO does.A new version of particle swarm optimization （PSO） called discontinuous flying particle swarm optimization （DFPSO） was proposed, where not all of the particles refreshed their positions and velocities during each iteration step and the probability of each particle in refreshing its position and velocity was dependent on its objective function value. The effect of population size on the results was investigated. The results obtained by DFPSO have an average difference of 6% compared with those by PSO, whereas DFPSO consumes much less evaluations of objective function than PSO does.

关 键 词：slope stability limit equilibrium method factor of safety particle swarm optimization. 

分 类 号：P642[天文地球—工程地质学]