Optimization of boiler's convection tubes based on Genetic Algorithm

DOI

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.

Copyright

© 2016, 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  - 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  - Proceedings of the 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  - 10.2991/iceeecs-16.2016.51
ID  - Zhang2016/12
ER  -