首页 | 本学科首页   官方微博 | 高级检索  
     检索      

超结构换热器网络综合优化的遗传/模拟退火算法-Ⅱ.遗传/模拟退火算法及应用
引用本文:温卿云,罗行,马虎根,杨杉杉,陈德珍.超结构换热器网络综合优化的遗传/模拟退火算法-Ⅱ.遗传/模拟退火算法及应用[J].工程热物理学报,2007,28(Z2):130-132.
作者姓名:温卿云  罗行  马虎根  杨杉杉  陈德珍
作者单位:1. 上海理工大学,上海,200093
2. 同济大学,上海,200092
基金项目:上海市重点学科建设项目
摘    要:本文提出了用于换热器网络综合的改进的遗传/模拟退火算法.最优综合的模型基于本文第一部分所提出的通用解方法.所采用的遗传算法结合了模拟退火算法和爬山优化算法,同时引进精英策略和结构变异策略以增强算法的搜索能力.采用本文提出的算法对文献提出的算例进行了计算并得到了更好的结果.

关 键 词:遗传/模拟退火算法  超结构换热器网络  综合优化  精英策略
文章编号:0253-231X(2007)Suppl.2-0130-03
修稿时间:2007年1月19日

GENETIC ALGORITHM/SIMULATED ANNEALING FOR SYNTHESIS OF HEAT EXCHANGER NETWORKS WITH SUPERSTRUCTURE MODEL - Ⅱ. THE APPLICATIONS
WEN Qing-Yun,LUO Xing,MA Hu-Gen,YANG Shan-Shan,CHEN De-Zhen.GENETIC ALGORITHM/SIMULATED ANNEALING FOR SYNTHESIS OF HEAT EXCHANGER NETWORKS WITH SUPERSTRUCTURE MODEL - Ⅱ. THE APPLICATIONS[J].Journal of Engineering Thermophysics,2007,28(Z2):130-132.
Authors:WEN Qing-Yun  LUO Xing  MA Hu-Gen  YANG Shan-Shan  CHEN De-Zhen
Abstract:An improved genetic algorithm/simulated annealing for optimal design of heat exchanger networks is presented in this work.The mathematical model used in the algorithm is based on an explicit solution of stream temperatures of heat exchanger networks with the stage-wise superstructure. The genetic algorithm is combined with simulated annealing algorithm and several strategies such as local optimizing strategy,elite strategy and structure mutation strategy so that the structural search ability of the algorithm can be enhanced.The present algorithm was applied to two examples and better results were obtained.
Keywords:genetic algorithm/simulated annealing algorithm  stage-wise superstructure heat exchanger network  synthesis  elite strategy
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号