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遗传算法在气体分离装置调优中的应用 被引量:2

Online optimizatin of gas fractionation plant with genetic algorithm
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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 . 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.
出处 《兰州大学学报(自然科学版)》 CAS CSCD 北大核心 2003年第1期43-46,共4页 Journal of Lanzhou University(Natural Sciences)
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 hybrid genetic algorithm neural network complex method
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