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摘要
结合神经网络、遗传算法及带精英策略的非支配排序遗传算法（NSGA-Ⅱ）的基本原理和特点，综述了其在催化剂设计中的应用步骤和应用实例，对快速高效开发新催化剂有借鉴作用。
Abstract
In view of the fundamental principles and characteristics of artificial neural network,genetic algorithm,non-dominated sorting genetic algorithm-Ⅱ (NSGA-Ⅱ) attached with elite strategy,their application methods and practical examples in designing and optimizing catalysts are reviewed,which can give references for developing novel catalyst fast and efficiently.
关键词
催化剂设计
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NSGA-Ⅱ
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遗传算法
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神经网络
Key words
catalyst design
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NSGA-Ⅱ
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genetic algorithm
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neural network
神经网络及遗传算法在催化剂设计中的应用[J].
现代化工, 2018, 38(8): 213-216 DOI:10.16606/j.cnki.issn0253-4320.2018.08.047
