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-fa.html
چکیده: (26898 مشاهده)
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.
نوع مطالعه:
پژوهشي |
موضوع مقاله:
Optimal design دریافت: 1390/8/2 | انتشار: 1389/12/24