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An immune evolution mechanism for the study of stress factors in supervised and controlled systems

机译:研究监督控制系统中压力因素的免疫进化机制

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Reinterpretation and adaptation of knowledge from technical sciences into the field of sports science is at the forefront of advancing performance. Evolution-based systems open the possibility of evaluating different stress factors that appear in the systematization of training programs. Our aim was to demonstrate that it is possible to use evolution mechanisms to model the real life influence of stress factors during performance training of athletes, a concept that can be generalized to other supervised or controlled systems. We have recorded data from one former basketball player to be used in the development of a simulation model based on immune genetic algorithms. We developed an immunization scheme that is parameterized for simulating different training outcomes based on type of athlete. Results confirm one of these cases is possibly the most similar to real life situations. Thus, we obtained an evolution model that aligns with the generative experiment as proof of concept for the evaluation of performance under stress. In particular, for sports science, we may have found a way to analyze training programs before their execution and to spot weaknesses in them.
机译:从技术科学到体育科学领域的知识的重新诠释和改编是提高绩效的最前沿。基于进化的系统为评估出现在培训计划系统中的不同压力因素提供了可能性。我们的目的是证明在运动员的性能训练过程中可以使用进化机制来模拟压力因素对现实生活的影响,这一概念可以推广到其他受监督或控制的系统。我们已经记录了一名前篮球运动员的数据,这些数据将用于基于免疫遗传算法的仿真模型的开发。我们开发了一种免疫方案,该方案已参数化,可以根据运动员的类​​型来模拟不同的训练结果。结果证实,其中一种情况可能与现实生活中的情况最为相似。因此,我们获得了与生成实验相吻合的演化模型,作为概念模型用于评估压力下的性能。特别是对于体育科学,我们可能已经找到了一种在执行训练计划之前对其进行分析并找出其不足之处的方法。

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