A Coupling Optimum Method Based on Embedding Space Condensation PSO into FLAC and Application in Tunnel Design

Author

Jiang, Quan ; Zhang, Jiaxin ; Su, Guoshao

Author_Institution

Inst. of Rock & Soil Mech., Chinese Acad. of Sci., Wuhan, China

Volume

2

fYear

2009

fDate

24-26 April 2009

Firstpage

1002

Lastpage

1005

Abstract

To improve the performance of PSO (Particle Swarm Optimization), a modified algorithm named SCPSO (Space Condensation Particle Swarm Optimization) is put forward. The SCPSO compresses the search space of particles step by step according to a convergence function. To realize the application in engineering design conveniently, the SCPSO is embedded into computational kernel of FLAC (Fast Lagrangian Analysis of Continua). By the coupled method of SCPSO and FLAC, the cooperation between stability calculation of FLAC and parameters optimization of SCPSO is obtained at the same time. The case study of Niujiaoping tunnel shows that SCPSO-FLAC is very useful in tunnel supporting design.

Keywords

CAD; particle swarm optimisation; structural engineering computing; tunnels; Niujiaoping tunnel; convergence function; engineering design; fast Lagrangian analysis of continua; space condensation particle swarm optimization; tunnel design; tunnel supporting design; Acceleration; Algorithm design and analysis; Costs; Design engineering; Design optimization; Embedded computing; Lagrangian functions; Particle swarm optimization; Software safety; Space technology; coupled algorithm; modefied PSO; space condensation; tunnel design;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on

Conference_Location

Sanya, Hainan

Print_ISBN

978-0-7695-3605-7

Type

conf

DOI

10.1109/CSO.2009.270

Filename

5194112