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

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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.

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Periodical:

Edited by:

Huang Xianghong, Huang Xinyou, Mao Hongkui and Yin Zhixi

Pages:

1647-1653

DOI:

10.4028/www.scientific.net/AMM.182-183.1647

Citation:

W. H. Fang "Back-Analysis Improved Particle Swarm Optimization Algorithm on Mechanical Parameters of Divisional Geotechnical Engineering Material", Applied Mechanics and Materials, Vols. 182-183, pp. 1647-1653, 2012

Online since:

June 2012

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$38.00

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