Application of genetic algorithm and neural network in the optimization of boiler load assignment

Yan Gao*

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

3 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)944-948
页数5
期刊Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
25
11
出版状态已出版 - 11月 2005

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