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

被引:20
作者
Farrokh Ghatte, Hamid [1 ]
机构
[1] Antalya Bilim Univ, Fac Engn, Civil Engn Dept, Antalya, Turkey
关键词
Biogeography-based optimization; Firefly algorithm; Meta-heuristic; Optimization steel structures; CHARGED SYSTEM SEARCH; SEISMIC DESIGN; COLONY; COST;
D O I
10.1007/s13369-020-05118-w
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页码:4703 / 4717
页数:15
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