An AI-based auto-design for optimizing RC frames using the ANN-based Hong–Lagrange algorithm

Artificial neural networks (ANNs)-based objective functions such as costs and weights of reinforced concrete (RC) frames with four-by-four bays and four floors are optimized simultaneously based on big datasets of 330,000 designs according to ACI 318-19, whereas corresponding design parameters, whic...

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Hlavní autoři:	Won-Kee Hong, Tien Dat Pham
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Taylor & Francis Group 2023-09-01
Edice:	Journal of Asian Architecture and Building Engineering
Témata:	ann-based hong–lagrange algorithm of rc frames pareto frontier of rc frames big datasets of rc frames kkt solutions of rc frames weight fraction of moo problems
On-line přístup:	http://dx.doi.org/10.1080/13467581.2022.2163174
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