Cricket is a popular and increasingly wealthy bat-and-ball sport. Cricket bats made from willow are the focus of increasing scientific research and innovation, and in this paper, an innovative approach to improving the performance of cricket bats is described. Parametric modeling and genetic algorithms were used to converge the location of two points on a bat that are associated with increased velocity of a ball rebounding off bats: vibrational nodal points and center of percussion (COP). This modeling was able to reduce the distance between nodal points and COP from 174.5 to 98.1 mm. This change occurred as a result of modifications to the geometry of the bat notably shifting its mass toward its end, and keel-shaped sculpting of the back of the bat. These features are seen in some modern high-performance bats. However, the keel-shaped sculpting of the new bat was more sharply incurvate at the center and ends of the bat. The authors conclude that the combination of parametric modeling and optimization using genetic algorithms is a powerful tool for exploring virtual designs for cricket bats that are based on performance criteria, and suggest that additional novel bat designs could arise through multi-objective modeling and optimization using genetic algorithms.

中文翻译：

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使用参数化建模和遗传算法设计板球蝙蝠

板球是一种流行且日益富裕的球拍运动。用柳树制成的板球棒是越来越多的科学研究和创新的重点，在本文中，描述了一种提高板球棒性能的创新方法。参数建模和遗传算法用于收敛球棒上与球从球棒上反弹的速度增加相关的两个点的位置：振动节点和打击中心 (COP)。这种建模能够将节点与 COP 之间的距离从 174.5 毫米减少到 98.1 毫米。这种变化是由于蝙蝠的几何形状的修改而发生的，特别是将其质量移向其末端，以及蝙蝠背部的龙骨形雕刻。这些特征可以在一些现代高性能蝙蝠中看到。然而，新蝙蝠的龙骨形雕刻在蝙蝠的中心和末端更加尖锐。作者得出结论，参数建模和使用遗传算法的优化相结合是探索基于性能标准的板球蝙蝠虚拟设计的强大工具，并建议通过使用遗传算法进行多目标建模和优化，可以产生其他新颖的蝙蝠设计。算法。