摘要
介绍了新近提出的一种模拟进化算法——粒子群算法,相对于其他进化算法,粒子群算法的优势在于简单、易实现且收敛快。把该算法引入岩土工程参数反演领域,同时为了克服粒子群算法后期搜索效率降低的缺陷,把单纯形法嵌入到粒子群算法中,提出岩土工程参数反演的一种新方法——基于粒子群算法和单纯形法的混合算法。算例表明,混合算法在参数反演计算中体现出良好的优化性能和很快的收敛速度,是一种新颖可行的参数反演方法。
The principle and the main characteristics of particle swarm optimization, a new simulating evolutionary algorithm proposed recently, are introduced. For the purpose of increasing the local-searching efficiency of the particle swarm optimization, a hybrid approach is presented by combining the particle swarm optimization with simplex method, and the hybrid approach is applied to the parameter inversion in geotechnical engineering. The results of an example show that the hybrid approach is of strong ability to obtain global minima, and its performances are superior to those of single method.
出处
《岩石力学与工程学报》
EI
CAS
CSCD
北大核心
2005年第9期1492-1496,共5页
Chinese Journal of Rock Mechanics and Engineering
基金
国家自然科学基金重点项目(50439010)
国家自然科学基金面上项目(50378012)
关键词
岩土力学
参数反演
粒子群算法
混合算法
Geotechnical engineering
Optimization
Rock mechanics
Soil mechanics
