Controlling combustion process in power boiler by genetic algorithm and neural network

Waldemar Wojcik; M. Kalita; A. Smolarz; B. Pilek

doi:10.1117/12.610685

23 February 2005 Controlling combustion process in power boiler by genetic algorithm and neural network

Waldemar Wojcik, M. Kalita, A. Smolarz, B. Pilek

Proceedings Volume 5775, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments III; (2005) https://doi.org/10.1117/12.610685
Event: Wilga 2004, 2004, Wilga, Poland

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.

Citation Download Citation

Waldemar Wojcik, M. Kalita, A. Smolarz, and B. Pilek "Controlling combustion process in power boiler by genetic algorithm and neural network", Proc. SPIE 5775, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments III, (23 February 2005); https://doi.org/10.1117/12.610685

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