Performance-based seismic design of steel frames using ant colony optimization
In this paper, a performance-based optimal seismic design of frame structures is presented using the ant colony optimization (ACO) method. This discrete metaheuristic algorithm leads to a significant improvement in consistency and computational efficiency compared to other evolutionary methods. A no...
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Veröffentlicht in: | Journal of constructional steel research 2010-04, Vol.66 (4), p.566-574 |
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creator | Kaveh, A. Farahmand Azar, B. Hadidi, A. Rezazadeh Sorochi, F. Talatahari, S. |
description | In this paper, a performance-based optimal seismic design of frame structures is presented using the ant colony optimization (ACO) method. This discrete metaheuristic algorithm leads to a significant improvement in consistency and computational efficiency compared to other evolutionary methods. A nonlinear analysis is utilized to arrive at the structural response at various seismic performance levels, employing a simple computer-based method for push-over analysis which accounts for first-order elastic and second-order geometric stiffness properties. Two examples are presented to illustrate the capabilities of ACO in designing lightweight frames, satisfying multiple performance levels of seismic design constraints for steel moment frame buildings, and a comparison is made with a standard genetic algorithm (GA) implementation to show the superiority of ACO for the discussed optimization problem. |
doi_str_mv | 10.1016/j.jcsr.2009.11.006 |
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subjects | Ant colony optimization Colonies Evolutionary Frames Genetic algorithms Optimization Performance-based seismic design Seismic design Seismic phenomena Steel frame structures Steel frames Structural steels |
title | Performance-based seismic design of steel frames using ant colony optimization |
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