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OPTIMIZATION OF BARBELL TRAJECTORY DURING THE SNATCH LIFT TECHNIQUE BY USING GENETIC ALGORITHM

机译:基于遗传算法的鼻举提升术中的弹道优化

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摘要

Mathematical modeling and optimization of snatch technique based on dynamic synthesis is the main purpose of this study. The barbell trajectory is proposed as the main index which was evaluated experimentally by several researchers who introduced optimum trajectory according to percentage of their owners' success. We believe that in optimizing the barbell trajectory we should consider the mechanical principles. Therefore we use a five-link biomechanical model to evaluate its behaviour and to predict the optimum barbell trajectory which minimizes the specific mechanical criterion by using genetic algorithm (GA) which is theoretically and empirically proven to provide a robust search in complex spaces, thereby offering a valid approach to problems requiring efficient and effective searches. Comparing the results of this model and experimental observations of other researchers, we show an improvement to introduce a good predictive model. Using this model can help the coaches to improve the performance of weightlifters.
机译:基于动态综合的抓举技术的数学建模和优化是本研究的主要目的。杠铃轨迹被建议作为主要指标,由几位研究人员通过实验评估,他们根据所有者的成功百分比引入了最优轨迹。我们认为,在优化杠铃轨迹时,应考虑机械原理。因此,我们使用五链式生物力学模型来评估其行为并预测最佳的杠铃轨迹,从而通过使用遗传算法(GA)来最小化特定的机械准则,遗传算法在理论上和经验上都可以在复杂空间中提供可靠的搜索,从而提供解决需要有效和有效搜索的问题的有效方法。比较该模型的结果和其他研究人员的实验观察,我们发现引入良好的预测模型方面有所改进。使用此模型可以帮助教练提高举重运动员的表现。

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