Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.compstruc.2010.07.004
Title: Uniformly sampled genetic algorithm with gradient search for structural identification - Part II: Local search
Authors: Zhang, Z. 
Koh, C.G. 
Duan, W.H.
Keywords: BFGS method
Conjugate gradient
Optimization characteristics
Peak shifting
Simulated annealing
Structural identification
Issue Date: Oct-2010
Citation: Zhang, Z., Koh, C.G., Duan, W.H. (2010-10). Uniformly sampled genetic algorithm with gradient search for structural identification - Part II: Local search. Computers and Structures 88 (19-20) : 1149-1161. ScholarBank@NUS Repository. https://doi.org/10.1016/j.compstruc.2010.07.004
Abstract: This paper investigates several gradient local search methods as an enhancement to Part I, to further improve the computational efficiency while achieving the same identification accuracy. The present study is significant in several ways. First, this study reveals the characteristics of structural identification from the optimization perspective. Second, the "switch point" from global search to local search is determined with due consideration in convergence speed and avoidance of local optima. Finally, the combined strategy based on Part I and Part II with a particular local search (BFGS) is found to achieve substantial improvement in identification efficiency and accuracy. © 2010 Published by Elsevier Ltd. All rights reserved.
Source Title: Computers and Structures
URI: http://scholarbank.nus.edu.sg/handle/10635/66357
ISSN: 00457949
DOI: 10.1016/j.compstruc.2010.07.004
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