Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)

Optimization of boiler's convection tubes based on Genetic Algorithm

Authors
Tianyu Zhang, Qingfeng Zhang, Zhenning Zhao, Liang Cheng, Gaojun Liu
Corresponding Author
Tianyu Zhang
Available Online December 2016.
DOI
https://doi.org/10.2991/iceeecs-16.2016.51How to use a DOI?
Keywords
Genetic Algorithm, convection tube, optimization, binary code.
Abstract
Genetic Algorithm (GA) is created by Prof. John Holland from Michigan University, deriving from the Darwin's theory of evolution, Weizmann's theory of species selection, and Mendel's theory of inheritance. In present study, the Genetic Algorithm is introduced to optimize the boiler convection tube bank of SHL32-2.5/AI and the method of programing group for optimization - binary code,is achieved. Constraints are considered by means of penalty functions. Based on the data obtained in our case, the result shows in the almost equal amount of heat absorbed, the structure with optimization can economize on steel by 10%. The idea of present study can also applied in economizer and other heat transfer array of tubes and can be used as a reference for further study.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-265-7
ISSN
2352-538X
DOI
https://doi.org/10.2991/iceeecs-16.2016.51How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Tianyu Zhang
AU  - Qingfeng Zhang
AU  - Zhenning Zhao
AU  - Liang Cheng
AU  - Gaojun Liu
PY  - 2016/12
DA  - 2016/12
TI  - Optimization of boiler's convection tubes based on Genetic Algorithm
BT  - 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 230
EP  - 235
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.51
DO  - https://doi.org/10.2991/iceeecs-16.2016.51
ID  - Zhang2016/12
ER  -