化工学报 ›› 2013, Vol. 64 ›› Issue (9): 3285-3290.DOI: 10.3969/j.issn.0438-1157.2013.09.029

• 过程系统工程 • 上一篇    下一篇

微分进化算法应用于换热网络全局最优化

方大俊, 崔国民   

  1. 上海理工大学新能源研究所, 上海 200093
  • 收稿日期:2013-02-05 修回日期:2013-04-08 出版日期:2013-09-05 发布日期:2013-09-05
  • 通讯作者: 崔国民
  • 作者简介:方大俊(1988- ),男,硕士研究生。
  • 基金资助:

    国家自然科学基金项目(51176125);上海市人才发展基金项目(2009022)。

Global optimization of heat exchanger networks using differential evolution algorithm

FANG Dajun, CUI Guomin   

  1. Research Institute of New Energy Science and Technology, University of Shanghai for Science and Technology, Shanghai 200093, China
  • Received:2013-02-05 Revised:2013-04-08 Online:2013-09-05 Published:2013-09-05
  • Supported by:

    supported by the National Natural Science Foundation of China(51176125)and the Research Foundation for the Development of Talent of Shanghai(2009022).

关键词: 换热网络, 启发式方法, 微分进化算法, 全局最优化

Abstract: The differential evolution algorithm was used to solve heat exchanger networks problems characterized by mixed integer non-linear programming.On the basis of Grossmann stage-wise structure,differential evolution was implemented to solve heat exchanger networks synthesis by handling the discrete variables and constraints,especially the ability of global optimization and jumping out of local solutions were studied.The results showed that differential evolution algorithm was effective to obtain better results for solving heat exchanger networks synthesis,which was a mixed integer nonlinear programming problem.

Key words: heat exchanger networks, stochastic approach, differential evolution algorithm, global optimization

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