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Multi-objective seismic design optimization of steel frames by a chaotic meta-heuristic algorithm

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Abstract

In this study, multi-objective optimization is applied to implement performance-based design of steel moment-resisting frame (SMRF) structures. In order to efficiently achieve this purpose, a chaotic multi-objective firefly algorithm (CMOFA) is proposed to find the Pareto optimal front for the multi-objective performance-based optimum design (MO-PBOD) problem of SMRFs. The structural weight and the maximum inter-story drift at performance levels are taken as the conflicting objective functions of the MO-PBOD problem which should be optimized simultaneously subject to serviceability and ultimate limit-state constraints. In order to illustrate the efficiency of the proposed CMOFA meta-heuristic, two benchmark truss examples and three MO-PBOD examples of SMRFs are presented. The numerical results demonstrate the better computational performance of the proposed CMOFA meta-heuristic in comparison with some existing multi-objective algorithms.

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Authors and Affiliations

  1. Department of Civil Engineering, Urmia University, P.O. Box 165, Urmia, Iran

    Saeed Gholizadeh & Amir Baghchevan

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  1. Saeed Gholizadeh
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  2. Amir Baghchevan
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Correspondence to Saeed Gholizadeh.

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Gholizadeh, S., Baghchevan, A. Multi-objective seismic design optimization of steel frames by a chaotic meta-heuristic algorithm. Engineering with Computers 33, 1045–1060 (2017). https://doi.org/10.1007/s00366-017-0515-0

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  • DOI: https://doi.org/10.1007/s00366-017-0515-0

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