| 微分进化算法应用于换热网络全局最优化 |
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| 引用本文： | 方大俊,崔国民.微分进化算法应用于换热网络全局最优化[J].化工学报,2013,64(9):3285-3290. |
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| 作者姓名： | 方大俊 崔国民 |
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| 作者单位： | 上海理工大学新能源研究所, 上海 200093 |
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| 基金项目： | 国家自然科学基金项目，上海市人才发展基金项目，supported by the National Natural Science Foundation of China，the Research Foundation for the Development of Talent of Shanghai |
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| 摘 要： | 前言换热网络是过程系统中实现能量回收和高效利用的重要环节,其性能直接关系到整个系统的能量利用水平。目前,换热网络优化设计的方法主要分为三类,分别是夹点法1-2]、数学规划法3-4]与启发式方法5-7]。
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| 关 键 词： | 换热网络 启发式方法 微分进化算法 全局最优化 |
| 收稿时间： | 2013-02-05 |
| 修稿时间： | 2013-04-08 |
Global optimization of heat exchanger networks using differential evolution algorithm |
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| FANG Dajun
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CUI Guomin.Global optimization of heat exchanger networks using differential evolution algorithm[J].Journal of Chemical Industry and Engineering(China),2013,64(9):3285-3290. |
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| Authors: | FANG Dajun CUI Guomin |
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| Affiliation: | Research Institute of New Energy Science and Technology, University of Shanghai for Science and Technology, Shanghai 200093, China |
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| Abstract: | The differential evolution algorithm was used to solve heat exchanger networks problems characterized by mixed integer non-linear programming.On the basis of Grossmann stage-wise structure,differential evolution was implemented to solve heat exchanger networks synthesis by handling the discrete variables and constraints,especially the ability of global optimization and jumping out of local solutions were studied.The results showed that differential evolution algorithm was effective to obtain better results for solving heat exchanger networks synthesis,which was a mixed integer nonlinear programming problem. |
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| Keywords: | heat exchanger networks stochastic approach differential evolution algorithm global optimization |
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