期刊
APPLIED MATHEMATICAL MODELLING
卷 58, 期 -, 页码 3-18出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2018.01.043
关键词
Vortex search algorithm; Fast learning network; Logic self-map chaos; Levy flight; I-VS-FLN model; Combustion optimization
资金
- National Natural Foundation of China [61573306]
- Hebei Normal University of Science and Technology [JYZD201413]
- State Key Laboratory of Metastable Materials Science and Technology, Yanshan University [201702]
The boiler combustion optimization has attracted growing research interest of more and more researchers in thermal energy engineering field. To achieve combustion optimization objective, the combustion characteristics model of the boiler needs to be built, and the efficient optimization algorithm also needs to be found. Therefore, in this study, a logic self map chaos and Levy flight Vortex Search (I-VS) algorithm is proposed. Then, comparative study between the I-VS algorithm and some other state-of-the-art optimization algorithms is performed. Next, the combustion efficiency model is built based on fast learning network (FLN). The I-VS algorithm is used to optimize FLN, and then an I-VS-FLN model is built for predicting NOx emissions of a boiler. Experimental results show that the I-VS-FLN model has better generalization ability than five other models. Finally, the I-VS algorithm is used to tune the operating parameters of the boiler based on the FLN model and the I-VS-FLN model to achieve the combustion optimization objective. (C) 2018 Elsevier Inc. All rights reserved.
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