计算物理 ›› 2017, Vol. 34 ›› Issue (2): 193-204.

• 研究论文 • 上一篇    下一篇

一种适用换热网络同步综合的改进混沌蚁群算法

张春伟, 崔国民, 陈上   

  1. 上海理工大学能源与动力工程学院, 上海 200093
  • 收稿日期:2015-11-18 修回日期:2016-04-27 出版日期:2017-03-25 发布日期:2017-03-25
  • 作者简介:张春伟(1992-),男,硕士研究生,研究方向为过程系统工程,E-mail:zcwaxc@163.com
  • 基金资助:
    国家自然科学基金(51176125)和上海市科委部分地区院校能力建设计划(16060502600)资助项目

An Improved Chaotic Ant Swarm Algorithm for Simultaneous Synthesis of Heat Exchanger Network

ZHANG Chunwei, CUI Guomin, CHEN Shang   

  1. School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  • Received:2015-11-18 Revised:2016-04-27 Online:2017-03-25 Published:2017-03-25

摘要: 提出一种适用于换热网络同步综合的改进混沌蚁群算法.在标准算法的基础上引入组织变量更新策略、新型动态邻域拓扑结构,增强算法的全局搜索能力和局部搜索能力.提出两条整型变量优化策略使算法具备优化整型变量的能力和特性.选取两个不同规模的换热网络问题对算法进行测试,其鲁棒性和有效性得到验证.

关键词: 换热网络综合, 混沌蚁群算法, 组织变量更新, 整型变量优化

Abstract: An improved chaotic ant swarm algorithm, which synthesizes simultaneously heat exchanger network well, is proposed. Organization variables update strategy and novel dynamic neighborhood topology are introduced to enhance global search ability and local search ability of the algorithm. Two strategies of integer variables are proposed to optimize integer variables represented by heat exchangers. Two heat exchanger network problems with different scale are selected to test the algorithm. Obtained solutions are better than solutions published in literature, which indicates robustness and effectiveness of the algorithm.

Key words: heat exchanger network synthesis, chaotic ant swarm algorithm, organization variables update, integer variables optimization

中图分类号: