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Proceedings Paper

Controlling combustion process in power boiler by genetic algorithm and neural network
Author(s): Waldemar Wojcik; M. Kalita; A. Smolarz; B. Pilek
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Paper Abstract

An analyse of evolutionary algorithm operation allows us to understand how controlled spontaneity of an individual specimen leads to dynamic order of the whole community that efficiently uses emerging adaptive possibilities. This paper presents sequel of research concerning implementation of GA in controlling burning process in industrial conditions. A simulation was conducted and proved that implementing GA to the process is possible and brings improvement of flue gases parameters, what is a direct measure of power boiler quality of work, both in ecologic and economical way.

Paper Details

Date Published: 23 February 2005
PDF: 6 pages
Proc. SPIE 5775, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments III, (23 February 2005); doi: 10.1117/12.610685
Show Author Affiliations
Waldemar Wojcik, Lublin Univ. of Technology (Poland)
M. Kalita, Lublin Univ. of Technology (Poland)
A. Smolarz, Lublin Univ. of Technology (Poland)
B. Pilek, State School of Higher Vocational Education/Jaroslaw (Poland)


Published in SPIE Proceedings Vol. 5775:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments III
Ryszard S. Romaniuk, Editor(s)

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