Paper Title:
A New Global Optimization Algorithm and its Application
  Abstract

In geotechnical engineering, based on the theory of inverse analysis of displacement, the problem for identification of material parameters can be transformed into an optimization problem. Commonly, because of the non-linear relationship between the identified parameters and the displacement, the objective function bears the multimodal characteristic in the variable space. So to solve better the multimodal characteristic in the non-linear inverse analysis, a new global optimization algorithm, which integrates the dynamic descent algorithm and the modified BFGS (Brogden-Fletcher-Goldfrab-Shanno) algorithm, is proposed. Five typical multimodal functions in the variable space are tested to prove that the new proposed algorithm can quickly converge to the best point with few function evaluations. In the practical application, the new algorithm is employed to identify the Young’s modulus of four different materials. The results of the identification further show that the new proposed algorithm is a very highly efficient and robust one.

  Info
Periodical
Advanced Materials Research (Volumes 33-37)
Edited by
Wei Yang, Mamtimin Geni, Tiejun Wang and Zhuo Zhuang
Pages
1407-1412
DOI
10.4028/www.scientific.net/AMR.33-37.1407
Citation
Y. H. Lu, S. L. Wang, H. Jiang, X. R. Ge, "A New Global Optimization Algorithm and its Application", Advanced Materials Research, Vols. 33-37, pp. 1407-1412, 2008
Online since
March 2008
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Price
$32.00
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