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|Title:||Modified genetic algorithm strategy for structural identification|
Structural dynamics system identification
|Citation:||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|
|Appears in Collections:||Staff Publications|
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