Genetic Algorithm Combining Operation Tree (GAOT) for concrete performance

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/).

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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  -