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改进遗传算法及其在过程系统综合中的实践

Enhanced Genetic Algorithms and Its Application in Process System Engineering

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【作者】 刘洪谦麻德贤

【Author】 LIU Hong\|qian\ MA De\|xian (College of Chemical Engineering,Beijing University of Chemical Technology,Beijing\ 100029)

【机构】 北京化工大学化学工程学院!北京100029

【摘要】 过程系统综合问题通常是奇异、多峰的。本文对遗传算法进行了改进 ,并对改进后的算法对该类问题的求解能力进行了研究 .对遗传算法测试函数、最优过程设计和换热网络综合等问题的有效求解表明 :该算法对过程系统综合混合整数非线性规划问题 (MINLP)有着较好的全局求解能力

【Abstract】 While dealing with the problem of synthesis on Process System Engineering (PSE),we often fall into the Conner of multi-peak and singularity, even fail getting their global solution.In this paper, Genetic Algorithms was enhanced by Information Extraction, parallel search and small sampling. The calculation of six standard testing functions of Genetic Algorithms shows us the efficiency of this enhancement. The solution to optimal design of process system and synthesis of heat exchanger networks shows us the robust of this enhancement to mixed integer non-linear problem in synthesis of process system.

  • 【文献出处】 计算机与应用化学 ,Computers and Applied Chemistry , 编辑部邮箱 ,2000年06期
  • 【分类号】O224
  • 【被引频次】13
  • 【下载频次】131
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