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Arabian Journal for Science and Engineering

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24-11-2020 | Research Article-Civil Engineering

A Hybrid of Firefly and Biogeography-Based Optimization Algorithms for Optimal Design of Steel Frames

Author: Hamid Farrokh Ghatte

Published in: Arabian Journal for Science and Engineering | Issue 5/2021

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Abstract

The principle purpose of the current study is to hybridize firefly algorithm (FA) as a nature-inspired meta-heuristic developed based on the flashing patterns and biogeography-based optimization (BBO) to present a qualified algorithm in the case of optimization of steel frame (SF) structures. In the proposed meta-heuristic algorithm, FA works as a global search engine while BBO achieves the local search task. The proposed algorithm is termed as a firefly algorithm–biogeography-based optimization (FA–BBO). FA–BBO algorithm was employed for the optimization of benchmark SF problems for the validity in the case of a new algorithm. The numerical outputs demonstrate that the new FA–BBO algorithm presents a better computational performance in the comparison of the current algorithms.

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Title: A Hybrid of Firefly and Biogeography-Based Optimization Algorithms for Optimal Design of Steel Frames
Author: Hamid Farrokh Ghatte
Publication date: 24-11-2020
Publisher: Springer Berlin Heidelberg
Published in: Arabian Journal for Science and Engineering / Issue 5/2021
Print ISSN: 2193-567X
Electronic ISSN: 2191-4281
DOI: https://doi.org/10.1007/s13369-020-05118-w

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