引用本文:王强,邵惠鹤.遗传算法在甲醛生产过程优化中的应用[J].控制理论与应用,1996,13(4):477~481.[点击复制]
WANG Qiang and SHAO Huihe.Genetic Optimization in Formaldehyde Production Process[J].Control Theory and Technology,1996,13(4):477~481.[点击复制]
遗传算法在甲醛生产过程优化中的应用
Genetic Optimization in Formaldehyde Production Process
摘要点击 1013  全文点击 540  投稿时间:1995-03-23  修订日期:1995-09-18
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DOI编号  
  1996,13(4):477-481
中文关键词  遗传算法  优化  甲醛
英文关键词  genetic algorithm  optimization  formaldehyde
基金项目  
作者单位
王强,邵惠鹤 上海交通大学自动化研究所 
中文摘要
      遗传算法是一种模拟自然进化而提出的简单高效的组合优化算法.本文研究了甲醛生产过程的优化问题,该过程由于其反应动力学的固有复杂性而无法建模,本文表明遗传算法可以有效地解决这一过程的寻优问题.
英文摘要
      Genetic algorithm is a simple but efficient combinatorial optimization algorithm based on the principle of nature evolution. This paper studied the optimization of formaldehyde production process. Due to the complexity experienced in the process reaction dynamics,it is difficult to set up precise model. It is showed in this paper that genetic algorithm is capable of handling such sort of optimization problems.