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

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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Bibliographic Details
Main Authors: Won-Kee Hong, Tien Dat Pham
Format: Article
Language:English
Published: Taylor & Francis Group 2023-09-01
Series:Journal of Asian Architecture and Building Engineering
Subjects:
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
Online Access:http://dx.doi.org/10.1080/13467581.2022.2163174

Internet

http://dx.doi.org/10.1080/13467581.2022.2163174

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