| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10322989 | Expert Systems with Applications | 2011 | 7 Pages |
Abstract
⺠NOx emissions and unburned carbon in fly ash of coal-fired boilers can be reduced simultaneously. ⺠Combining SVR and multi-objective algorithms can optimize combustion performances for boilers. ⺠OMOPSO algorithm is the best in terms of the accuracy and convergence rate. ⺠We propose OMOPSO and MOCell algorithms for online multi-object optimization of boilers.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Feng Wu, Hao Zhou, Jia-Pei Zhao, Ke-Fa Cen,