Proceedings of the 5th International Conference on Information Engineering for Mechanics and Materials

Genetic Algorithm Combining Operation Tree (GAOT) for concrete performance

Authors
Li Chen, Changhuan Kou, Shih-Wei Ma
Corresponding Author
Li Chen
Available Online July 2015.
DOI
10.2991/icimm-15.2015.84How to use a DOI?
Keywords
GAOT; Slump Flow; High-Performance Concrete
Abstract

Genetic Algorithm Combining Operation Tree (GAOT) was constructed to estimate the slump flow of high-performance concrete (HPC) by using seven concrete ingredients. HPC is a highly complex material; because modeling its behavior is extremely difficult, robust optimization techniques are required. GAOT is a type of evolutionary algorithm that simultaneously optimizes functions and their associated coefficients and is suitable for automatically discovering relationships between nonlinear systems. In a case study, it was observed that for estimating HPC slump flow, the GAOT is more accurate than regression model and back-propagation neural networks (BPNN).

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 5th International Conference on Information Engineering for Mechanics and Materials
Series
Advances in Engineering Research
Publication Date
July 2015
ISBN
978-94-62520-88-2
ISSN
2352-5401
DOI
10.2991/icimm-15.2015.84How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Li Chen
AU  - Changhuan Kou
AU  - Shih-Wei Ma
PY  - 2015/07
DA  - 2015/07
TI  - Genetic Algorithm Combining Operation Tree (GAOT) for concrete performance
BT  - Proceedings of the 5th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 445
EP  - 450
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-15.2015.84
DO  - 10.2991/icimm-15.2015.84
ID  - Chen2015/07
ER  -