Abstract
Optimization problem of in the assignment boiler loading when in parallel operation is aimed at. Genetic neural network is used to identify the coal supply and steam production model and improved genetic algorithm is applied to optimize assignment. The advantages of the improved genetic algorithm and the identification theory of the genetic neural network are described. The results of optimized assignment of load is shown to be better than that of the average assignment method.
| Original language | English |
|---|---|
| Pages (from-to) | 944-948 |
| Number of pages | 5 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 25 |
| Issue number | 11 |
| Publication status | Published - Nov 2005 |
Keywords
- Boiler
- Genetic algorithm
- Load assignment
- Neural network
- Optimization