首页 GA-CFD-MO:遗传算法在计算机流体动力学中的多目标优化应用-佛蒙特大学机械工程高级论文

GA-CFD-MO:遗传算法在计算机流体动力学中的多目标优化应用-佛蒙特大学机械工程高级论文

上传者： 42115074 | 上传时间： 2026-02-03 11:28:10 | 文件大小： 92.99MB | 文件类型： ZIP
遗传算法在计算机流体动力学中用于多目标优化 这是莱昂大学（University of Leon）为航空航天工程学士学位而开发的高级论文。 但是，这个项目是在佛蒙特大学的交流计划期间完成的。 本文的主要目的是将诸如遗传算法（GA）等超启发式优化方法与具有多目标（MO）的计算机流体动力学（CFD）模拟的航空航天案例相结合。 作者： 哈维尔·洛巴托·佩雷斯（Javier Lobato Perez） 顾问： 伊夫·达比夫（Yves Dubief）和拉斐尔·桑塔马里亚（Rafael Santamaria） 机构： 佛蒙特大学-机械工程系 该项目需要某些软件在计算机上才能正常运行。 必备条件是python （使用的版本为3.6.1 ）（使用jupyter notebook或jupyter lab执行笔记本并了解该过程的基本知识）， OpenFOAM （使用5.00版）和paraView （

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