A NEW HYBRID GENETIC AND SWARM OPTIMIZATION FOR EARTHQUAKE ACCELEROGRAM SCALING

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SHAHROUZI M.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING Year:2011 | Volume:1 | Issue:1 Page(s): 127-140

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Title

A NEW HYBRID GENETIC AND SWARM OPTIMIZATION FOR EARTHQUAKE ACCELEROGRAM SCALING

Author(s)

SHAHROUZI M. | Issue Writer Certificate

Keywords

PARTICLE SWARM OPTIMIZATION

GENETIC ALGORITHM

STRONG GROUND MOTION SCALING

SEISMIC DESIGN

BUILDING STRUCTURES

Abstract

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.

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APA: Copy

SHAHROUZI, M.. (2011). A NEW HYBRID GENETIC AND SWARM OPTIMIZATION FOR EARTHQUAKE ACCELEROGRAM SCALING. INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING, 1(1), 127-140. SID. https://sid.ir/paper/329323/en

Vancouver: Copy

SHAHROUZI M.. A NEW HYBRID GENETIC AND SWARM OPTIMIZATION FOR EARTHQUAKE ACCELEROGRAM SCALING. INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING[Internet]. 2011;1(1):127-140. Available from: https://sid.ir/paper/329323/en

IEEE: Copy

M. SHAHROUZI, “A NEW HYBRID GENETIC AND SWARM OPTIMIZATION FOR EARTHQUAKE ACCELEROGRAM SCALING,” INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING, vol. 1, no. 1, pp. 127–140, 2011, [Online]. Available: https://sid.ir/paper/329323/en

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