Parametric Shape Optimization of Flagellated Micro-Swimmers Using Bayesian Techniques

Lucas PalazzoloCRISAM, Laëtitia GiraldiCRISAM, Mickael BinoisACUMES, CRISAM, LJAD, Luca BertiIRMA
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Abstract

Understanding and optimizing the design of helical micro-swimmers is crucial for advancing their application in various fields. This study presents an innovative approach combining Free-Form Deformation with Bayesian Optimization to enhance the shape of these swimmers. Our method facilitates the computation of generic swimmer shapes that achieve optimal average speed and efficiency. Applied to both monoflagellated and biflagellated swimmers, our optimization framework has led to the identification of new optimal shapes. These shapes are compared with biological counterparts, highlighting a diverse range of swimmers, including both pushers and pullers.
利用贝叶斯技术优化鞭毛虫微型游泳器的参数形状
了解和优化螺旋微游泳器的设计对于推动其在各个领域的应用至关重要。本研究提出了一种结合自由形态变形和贝叶斯优化的创新方法,以增强这些游泳器的形状。我们的方法有助于计算能达到最佳平均速度和效率的通用游泳器形状。应用于单鞭和双鞭毛虫游泳器,我们的优化框架确定了新的最佳形状。我们将这些泳形与生物泳形进行了比较,从而发现了多种多样的游泳者,包括推式和拉式游泳者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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