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首页 » Others » 有机体:奥塔哥研究纳米团簇的遗传算法,包括结构方法和相似性(有机体)程序是一种遗传算法,旨在全局优化纳米团簇(也称为簇或纳米颗粒...

有机体:奥塔哥研究纳米团簇的遗传算法,包括结构方法和相似性(有机体)程序是一种遗传算法,旨在全局优化纳米团簇(也称为簇或纳米颗粒...

于 2021-12-10 发布
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用于研究纳米团簇(有机体)程序的遗传算法:用于纳米团簇的遗传算法 奥塔哥研究纳米团簇的遗传算法,包括结构方法和相似性(有机体)程序,旨在对纳米团簇进行遗传算法全局优化。 它的设计灵感来自Roy Johnston集团的伯明翰集群遗传算法和伯明翰并行遗传算法(请参阅JBA Davis, A. Shayeghi, SL Horswell, RL Johnston, Nanoscale, 2015,7, 14032 ( 或), RL Johnston,Dalton Trans., 2003, 4193–4207 ( 或 如果您是有机体计划的新手,建议在下载之前通过在交互式Jupyter + Binder交互式页面上运行有机体来尝试一下。 在Jupyter + Binder上,您可以在网络上玩生物程序。 您无需安装任何程序即可在Jupyter + Binder上试用有机体。 单击下面的“活页夹”

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