| 遗传算法在气体分离装置调优中的应用 |
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| 引用本文： | 何小其,隋保友,麻红昭,胡上序.遗传算法在气体分离装置调优中的应用[J].兰州大学学报(自然科学版),2003,39(1):43-46. |
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| 作者姓名： | 何小其 隋保友 麻红昭 胡上序 |
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| 作者单位： | 1. 浙江大学材料化工学院,浙江,杭州,310027
2. 齐鲁石化公司研究院,山东,淄博,255400 |
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| 摘 要： | 提出了一种基于遗传算法和随机复合形法相结合的混合遗传算法，并以某厂气体分馏装置的生产过程的优化问题进行了测试，得出了优化操作条件。
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| 关 键 词： | 气体分离装置 混合遗传算法 随机复合形法 气体分馏装置 并行计算 过程优化 |
| 文章编号： | 0455-2059(2003)01-0043-04 |
| 修稿时间： | 2002年10月23 |
Online optimizatin of gas fractionation plant with genetic algorithm |
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| HE Xiao-qi,SUI Bao-you,MA Hong-zhao,HU Shang-xu.Online optimizatin of gas fractionation plant with genetic algorithm[J].Journal of Lanzhou University(Natural Science),2003,39(1):43-46. |
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| Authors: | HE Xiao-qi SUI Bao-you MA Hong-zhao HU Shang-xu |
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| Institution: | HE Xiao-qi1,SUI Bao-you2,MA Hong-zhao1,HU Shang-xu1 |
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| Abstract: | A hybrid genetic algorithm method based on genetic algorithm and complex polyhedral search method was proposed. The complex polyhedral search method was modified by a random parameter to improve its efficiency in convergence. The neural networks provided the nonlinear mapping of theoretical model regarding the dependent variables versus the independent variables of gas fractionation plant. The proposed method can be used to find the steady-state optimal operating condition for a chemical plant. Satisfactory results were obtained. |
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| Keywords: | hybrid genetic algorithm neural network complex method |
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