Volume 1, Issue 1 (3-2011)
IJOCE 2011, 1(1): 127-140 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Shahrouzi M. A NEW HYBRID GENETIC AND SWARM OPTIMIZATION FOR EARTHQUAKE ACCELEROGRAM SCALING. IJOCE 2011; 1 (1) :127-140
URL: http://ijoce.iust.ac.ir/article-1-11-en.html
URL: http://ijoce.iust.ac.ir/article-1-11-en.html
Abstract: (29468 Views)
Earthquake time history records are required to perform dynamic nonlinear analyses. In order to provide a suitable set of such records, they are scaled to match a target spectrum as introduced in the well-known design codes. Corresponding scaling factors are taken similar in practice however, optimizing them reduces extra-ordinary economic charge for the seismic design. In the present work a new hybrid meta-heuristic is developed combining key features from genotypic search and particle swarm optimization. The method is applied to an illustrative example via a parametric study to evaluate its effectiveness and less probability of premature convergence compared with the standard particle swarm optimization.
Keywords: particle swarm optimization, genetic algorithm, strong ground motion scaling, seismic design, building structures
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
