| 应用遗传算法优化设计管壳式换热器 |
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| 引用本文： | 蒲星星,刘尚明,蒋洪德.应用遗传算法优化设计管壳式换热器[J].热力透平,2011,40(2). |
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| 作者姓名： | 蒲星星 刘尚明 蒋洪德 |
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| 作者单位： | 清华大学热能工程系热科学与动力工程教育部重点实验室,北京,100084 |
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| 摘 要： | 两级管壳式换热器优化设计是一个有约束非线性规划问题,目前还没有方法能够保证寻找到该问题的全局最优解.传统的转动坐标轴直接搜索可行方向法(DSFD方法)可以获得该问题的局部最优解,但该最优解对初始点的依赖性很大,需要多次尝试寻找"全局"最优解.应用遗传算法对两级管壳式换热器进行优化设计,优化结果与DSFD方法优化结果对比表明,遗传算法更易于寻找"全局"最优解,提高优化过程的效率.
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| 关 键 词： | 工程热物理 管壳式换热器 遗传算法 优化设计 |
Optimization Design of Tube-Shell Heat Exchanger Based on Genetic Algorithm |
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| PU Xing-xing,LIU Shang-ming,JIANG Hong-de.Optimization Design of Tube-Shell Heat Exchanger Based on Genetic Algorithm[J].Thermal Turbine,2011,40(2). |
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| Authors: | PU Xing-xing LIU Shang-ming JIANG Hong-de |
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| Affiliation: | PU Xing-xing,LIU Shang-ming,JIANG Hong-de(Key Laboratory for Thermal Science and Power Engineer of Ministry of Education,Department of Thermal Engineering,Tsinghua University,Beijing 100084,China) |
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| Abstract: | The optimization design of shell-and-tube heat exchanger in two stages was conducted by using the genetic algorithm(GA).This optimization is considered as a constrained nonlinear programming problem.Till now,there is no general method to find the global optimal solution for this kind of problem.The traditional direct search feasible direction(DSFD) can get the local optimal solution.However,the optimal solution depends on the start point seriously and needs several optimization processes to find the global ... |
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| Keywords: | engineering thermophysics tube-shell heat exchanger genetic algorithm optimization design |
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