A Novel Hybrid Algorithm with Marriage of Particle Swarm Optimization and Homotopy Optimization for Tunnel Parameter Inversion

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.

• Periodical: Applied Mechanics and Materials (Volumes 229-231)
• Pages: 2033-2037
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.229-231.2033
• Online since: November 2012
• Authors: Jian Ping Hu, Ya Lian Liu, Xing He, Jian Hua Wen
• Keywords: Homotopy Optimization, Parameter Inversion, Particle Swarm Optimization (PSO), Tunnel Displacement

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