基于遗传算法的高温空冷冷凝器优化设计Optimized Design of High-temperature Air-cooling Condenser Based on Genetic Algorithms
薛梅,刘颖,邬志敏,李国云,王涛
XUE Mei,LIU Ying,WU Zhi-min,LI Guo-yun,WAN Tao(University of Shanghai for Science and Technology
摘要(Abstract):
探讨了基于遗传算法原理的高温空冷冷凝器设计思想,分析了遗传算法在设计过程中的应用,列出了具体的实施步骤,并建立了冷凝器优化模型,并借助matlab遗传算法工具箱进行了验证。结果显示,遗传算法在换热器设计中具有良好的适用性。
The design idea in the high-temperature air-condenser was discussed based on the principles of genetic algorithms(GA),and the use of GA was analyzed in the designing process.The implementation steps were listed as well as the model of condenser was established.The result of this process was verified with the toolbox of GA in matlab.The superiority of GA in the design of heat exchanger was proved in this article.
关键词(KeyWords):
遗传算法;冷凝器;优化;设计
genetic algorithms;condenser;optimize;design
基金项目(Foundation): 上海市重点学科制冷及低温工程第三期(S30503);; 上海市教委发展基金项目(05EZ25)
作者(Author):
薛梅,刘颖,邬志敏,李国云,王涛
XUE Mei,LIU Ying,WU Zhi-min,LI Guo-yun,WAN Tao(University of Shanghai for Science and Technology
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