Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.compstruc.2005.11.008
Title: Modified genetic algorithm strategy for structural identification
Authors: Perry, M.J.
Koh, C.G. 
Choo, Y.S. 
Keywords: Genetic algorithm
Optimisation
Structural dynamics system identification
Issue Date: Mar-2006
Source: Perry, M.J., Koh, C.G., Choo, Y.S. (2006-03). Modified genetic algorithm strategy for structural identification. Computers and Structures 84 (8-9) : 529-540. ScholarBank@NUS Repository. https://doi.org/10.1016/j.compstruc.2005.11.008
Abstract: Genetic algorithms (GA) have proved to be a robust, efficient search technique for many problems. As the number of variables involved increases, classical GA will often have difficulty and/or require long computational time in obtaining acceptable results. In this paper, a modified GA strategy is proposed to improve the accuracy and computational time for parameter identification of multiple degree-of-freedom (DOF) structural systems. The strategy includes multiple populations or 'species', a search space reduction procedure and new operators designed to provide a robust and reliable identification. Average absolute error in the estimated stiffness values of 1.4% is achieved for a 20-DOF unknown mass system with 5% noise, and even more importantly the maximum error is reduced to only 3.8%. © 2005 Elsevier Ltd. All rights reserved.
Source Title: Computers and Structures
URI: http://scholarbank.nus.edu.sg/handle/10635/65837
ISSN: 00457949
DOI: 10.1016/j.compstruc.2005.11.008
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