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.
参考文献
[1] | Lewin D R;Wang H;Shalev O .A Generalized Method for HEN Synthesis Using Stochastic Optimization-Ⅰ,Ⅱ General Framework and MER Optimal Synthesis[J].Computers and Chemical Engineering,1998,22(10):1503-1513. |
[2] | 魏关锋 .用遗传/模拟退火算法进行具有多流股换热器的换热网络综合[D].大连理工大学,2003. |
[3] | B.Lin;D.C.Miller .Solving heat exchanger network synthesis problems with Tabu Search[J].Computers & Chemical Engineering: An International Journal of Computer Applications in Chemical Engineering,2004(8):1451-1464. |
[4] | Xing Luo;Meiling Li;Wilfried Roetzel .A general solution for one-dimensional multistream heat exchangers and their networks[J].International Journal of Heat and Mass Transfer,2002(13):2695-2705. |
[5] | Ciric A R;Floudas C A .Heat Exchanger Network Synthesis Without Decomposition[J].Computers and Chemical Engineering,1991,15(06):385-396. |
[6] | Ravagnani MASS;Silva AP;Arroyo PA;Constantino AA .Heat exchanger network synthesis and optimisation using genetic algorithm[J].Applied thermal engineering: Design, processes, equipment, economics,2005(7):1003-1017. |
上一张
下一张
上一张
下一张
计量
- 下载量()
- 访问量()
文章评分
- 您的评分:
-
10%
-
20%
-
30%
-
40%
-
50%