Multi-modal optimization for the seismic resistance of steel-frame structures by an improved red-billed blue magpie optimizer
Song Han et al.
What the paper says
This article proposes for the first time a multi-modal optimization design method for the seismic resistance of steel structures, focusing on minimizing inter-storey displacement angle and exploring various steel structure combinations to achieve optimal solutions. To cope with challenges, this article employs a novel multi-modal meta-heuristic algorithm incorporating a local search strategy as delineated in pbestmutation into the red-billed blue magpie optimizer. The optimization objective is to minimize the average of the maximum inter-storey drift of a structure subjected to three seismic intensity levels, based on nonlinear time-history analyses using Matlab® OpenSees, while ensuring compliance with strength, displacement and mass constraints of ASCE 7-16. To assess the efficacy of the algorithm, tests are conducted on 20 widely recognized multi-modal benchmark problems, showcasing its competitive superiority against existing algorithms. The capabilities and robustness of the algorithm are further examined through three case studies involving seismic-resistant steel-frame design.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.