摘要
将微粒群算法应用于大坝参数反分析,同时分析了群体规模对算法的搜索效率和搜索质量的影响以及微粒群反分析算法的数值稳定性。对算例的分析结果表明,基于微粒群算法的大坝参数反分析方法简便易行,收敛精度高,且具有很好的抗噪音能力,是一种新的有效、可靠的参数反分析方法。
The particle swarm optimization（PSO） algorithm and the method of parameters inversion for gravity dam based on PSO algorithm were studied. According to this inverse method, the authors had analyzed its searching efficiency and quality at different population sizes; also evaluated its numerical stability. Results of computation example show that this method is simple and convenient; it has higher convergence accuracy and strong noise-resistant capability, so this inversion method for dam parameters is workable and reliable.
出处
《岩土力学》
EI
CAS
CSCD
北大核心
2007年第5期991-994,共4页
Rock and Soil Mechanics
