1. A Novel Hybrid Algorithm with Marriage of Particle Swarm Optimization and Homotopy Optimization for Tunnel Parameter Inversion
- Author
-
Xing He, Ya Lian Liu, Jian Ping Hu, and Jian Hua Wen
- Subjects
Mathematical optimization ,Homotopy ,Computer Science::Neural and Evolutionary Computation ,MathematicsofComputing_NUMERICALANALYSIS ,Particle swarm optimization ,Inversion (meteorology) ,General Medicine ,Tunnel engineering ,ComputingMethodologies_ARTIFICIALINTELLIGENCE ,Finite element method ,Back analysis ,Computer Science::Computational Engineering, Finance, and Science ,Applied mathematics ,Multi-swarm optimization ,Mathematics - Abstract
The principle of Particle Swarm Optimization (PSO) and Homotopy Optimization (HO) is introduced. For the purpose of improving the local-searching efficiency of the PSO,HO-PSO is presented by combining the PSO with HO. New space homotopy curve produced by homotopy particle function directs the particle’s local optimization. For comparison,the methods of HO-PSO, PSO and FEM(Finite Element Method) are used to calculate the tunnel parameter inversion of the Shuibuya Project on the basis of the measured displacements. The result shows that HO-PSO takes smaller time compared with PSO and FEM in a same precision level, and the calculated values are in good agreement with the measured values,which also indicate that the HO-PSO can be well applied to the displacement back analysis in tunnel engineering.
- Published
- 2012