Volume 1, Issue 1 (3-2011)
2011, 1(1): 127-140 |
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Shahrouzi M. A NEW HYBRID GENETIC AND SWARM OPTIMIZATION FOR EARTHQUAKE ACCELEROGRAM SCALING. International Journal of Optimization in Civil Engineering 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: (26723 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
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