Nature-Based Hybrid Computational Geometry System for Optimizing the Interior Structure of Aerospace Components

被引:2
|
作者
Nagy, Danil [1 ]
机构
[1] Autodesk Studio, Living, 25 Broadway,Floor 9, New York, NY 10004 USA
来源
关键词
Metaheuristic optimization; light-weighting; genetic algorithm; agent-based simulation; computational geometry;
D O I
10.1145/3084363.3085088
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
This talk will describe a recent collaboration between our group and the aircraft manufacturer Airbus for the design of a new aerospace component which uses cutting-edge design and fabrication techniques to radically reduce the weight of the component while maintaining the same structural performance. To achieve these results, we developed a novel computational geometry system which combines a bottom-up growth strategy based on slime mold behavior from nature, with a top-down genetic algorithm framework for optimizing the final design.
引用
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页数:2
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