首页    期刊浏览 2024年11月27日 星期三
登录注册

文章基本信息

  • 标题:Research on the Optimization of Boiler Efficiency based on Artificial Bee Colony Algorithm
  • 本地全文:下载
  • 作者:Jun-Ta Wu ; Yuan-Biao Zhang ; Gui-Sen Xu
  • 期刊名称:Computer and Information Science
  • 印刷版ISSN:1913-8989
  • 电子版ISSN:1913-8997
  • 出版年度:2014
  • 卷号:7
  • 期号:4
  • 页码:30
  • DOI:10.5539/cis.v7n4p30
  • 出版社:Canadian Center of Science and Education
  • 摘要:

    This paper is to seek effective scheme of boiler efficiency optimization, it uses Artificial Bee Colony (ABC) algorithm to optimize boiler efficiency based on the model of boiler combustion efficiency. First, an optimization model of boiler efficiency, which takes boiler efficiency function as optimization objective, is set up according to the heat loss of boiler combustion. Moreover, the operating parameters affecting boiler efficiency is determined. Then ABC algorithm is used to solve the optimal value of boiler efficiency. The result of the research shows that the optimization of boiler efficiency based on ABC algorithm can quickly obtain optimal parameters for running boiler, so that the optimal boiler efficiency can be got.


国家哲学社会科学文献中心版权所有