Gaussian process regression based particle swarm optimization algorithm for fast back analysis of rock parameters

2014 ◽  
Author(s):  
Hua Liu ◽  
Guoshao Su ◽  
Junmeng Hao
Keyword(s):  
Particle Swarm Optimization ◽  
Gaussian Process ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Back Analysis ◽  
Gaussian Process Regression ◽  
Swarm Optimization ◽  
Rock Parameters

Back-Analysis Improved Particle Swarm Optimization Algorithm on Mechanical Parameters of Divisional Geotechnical Engineering Material

2012 ◽  
Vol 182-183 ◽  
pp. 1647-1653
Author(s):  
Wei Hua Fang
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Geotechnical Engineering ◽  
Particle Swarm ◽  
Back Analysis ◽  
Mechanical Parameters ◽  
Engineering Material ◽  
Swarm Optimization ◽  
Improved Particle Swarm Optimization

In order to obtain geotechnical engineering material mechanical parameters correctly by using back analysis and overcome shortcoming of ordinary Particle Swarm Optimization, Improved Particle Swarm Optimization (IPSO) algorithm is developed on the aspects such as Stretching Particle, Metropolis Algorithm and adaptive weight updating .at the same time, the algorithm is compared with Catastrophe Particle Swarm Optimization Algorithm (CPSO) and Quantum Particle Swarm Optimization Algorithm(QPSO). Also result of back analysis was compared with that of Ultrasonic Testing and that of mixed-model of dam monitoring. The analysis shows that IPSO has better performance than that of PSO and CPSO, and considerable performance with QPSO.

Multi-Scale Cooperative Mutation Particle Swarm Optimization Algorithm

2012 ◽  
Vol 23 (7) ◽  
pp. 1805-1815 ◽  
Author(s):  
Xin-Min TAO ◽  
Fu-Rong LIU ◽  
Yu LIU ◽  
Zhi-Jing TONG
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Multi Scale
Sign in / Sign up

Export Citation Format

Share Document