Optimal Design of Planar Steel Frames Using the Hybrid Teaching–Learning and Charged System Search Algorithm

In this study, a novel effective algorithm called HTC which results from a hybridization process between the teaching–learning-based optimization (TLBO) and charged system search (CSS) algorithms is proposed and utilized to optimize planar steel frames. Among the features of the proposed algorithm,...

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Bibliographic Details
Published in:	Iranian journal of science and technology. Transactions of civil engineering Vol. 47; no. 6; pp. 3357 - 3373
Main Authors:	Dastan, Mohammadhossein, Goodarzimehr, Vahid, Shojaee, Saeed, Hamzehei-Javaran, Saleh, Talatahari, Siamak
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 01.12.2023 Springer Nature B.V
Subjects:	Algorithms Biogeography Black holes Civil Engineering Coronaviruses Design Design factors Design optimization Engineering Genetic algorithms Heuristic methods Hybridization Learning Limit state design Methods Minimum weight Mutation Optimization Optimization algorithms Performance evaluation Physics Research Paper Resistance factors Search algorithms Steel Steel frames Theory of relativity Viruses Hybrid teaching–learning and charged system search algorithm Metaheuristics Optimization of steel frames Optimal design
ISSN:	2228-6160, 2364-1843
Online Access:	Get full text
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