EventsThe 1st Online Conference on Algorithms
Event submissions
Published
with-doi10.3390/IOCA2021-10882
This submission belongs to the session C. Evolutionary Algorithms and Machine Learning of the event The 1st Online Conference on Algorithms
Published date
20 Sep, 2021
Academic Editor
author-avatarStefano Mariani
Citation
Mohammad Sarcheshmehpour, Mohammad Sadegh Es-haghi, A novel strategy for tall building optimization via combination of asymmetric genetic algorithm and machine learning methods, in Proceedings of The 1st Online Conference on Algorithms, 27 September–10 October 2021, MDPI: Basel, Switzerland, doi: 10.3390/IOCA2021-10882
Share
Email
FaceBook
Twitter
Linkedin

A novel strategy for tall building optimization via combination of asymmetric genetic algorithm and machine learning methods

Mohammad Sadegh Es-haghi 1
Mohammad Sarcheshmehpour 2
1. School of Civil Engineering, Khajeh Nasir Toosi University of Technology, Tehran, Iran
2. Department of Civil Engineering, Sharif University of Technology, Tehran, Iran
Abstract
Keywords
Steel high-rise buildings
seismic design
practical structural optimization
Evolutionary algorithms
Machine learning
Manuscript
sciforum-048585.pdf