化学工程2011，Vol.39Issue(5)：85-89,5.
克隆选择算法在热管设计中的应用
Optimal design of heat pipe based on clonal selection algorithm
摘要
Abstract
Heat pipes are used widely in many engineering fields due to their higher rate of heat transfer.However,the design of heat pipes often involves selection of multi-object parameters, and the conventional design algorithms are not efficient in optimizing these parameters simultaneously.Clonal selection algorithm (CSA) is very useful in solving such a problem because of its strong self-learning and self-adaptive abilities.The purpose of the present work is to design a multi-object optimization algorithm for heat pipe based on the CSA.The thermal network model and heat transfer limit model of a typical heat pipe were built.On this basis, the optimal problem of the heat pipe was defined mathematically, and the algorithm was introduced to solve this problem.The results of several case studies based on this algorithm were discussed.Its effectiveness and superiority were clearly demonstrated.Since the models are built on the basic heat pipe analysis theory, the algorithm can be easily extended to solve the optimal problem of many types of heat pipe.关键词
热管/传热率/热阻/多目标优化设计/克隆选择算法Key words
heat pipe/ heat conductivity/ thermal resistance/ multi-object optimal design/ clonal selection algorithm分类
能源科技引用本文复制引用
施坤,黄晓明,黄晓..克隆选择算法在热管设计中的应用[J].化学工程,2011,39(5):85-89,5.基金项目
中国博士后科学基金资助项目(20070420903) （20070420903）
