A genetic algorithm for optimal design of an inflatable knee bolster

作者: Y. Fu , R.J. Yang , I. Yeh

DOI: 10.1007/S00158-003-0344-1

关键词:

摘要: An inflatable knee bolster (IKB) is an airbag cushion deployed in the area conjunction with frontal airbags to reduce lower-leg injuries. It conceivable that IKB has potential prevent severe However, effects of on occupant head and chest injuries are still unknown. This research investigates IKB, its interaction other components restraint system, injuries, using a genetic algorithm (GA). One major challenges for introduction it may result significant increase number possible discrete combinations, as design parameters increase. GA works simultaneously population designs based survival fittest. obtain global optimal design, gives more flexibility engineering implementations because provides multiple solutions. The results demonstrate useful applicable tool optimize configurations large-scale simulation problem.

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