#15 – Athlete’s Physiological Function Influencing Factors Optimized Based on Adaptive Genetic Algorithm

Zhanju Ma and  Yao Wang. Athlete’s Physiological Function Influencing Factors Optimized Based on Adaptive Genetic Algorithm. Dynamic Systems and Applications 29 (2020) No. 5, 1832 – 1841

https://doi.org/10.46719/dsa202029515

ABSTRACT.
A person’s diet and supplementation strategies can affect their physical performance. Individualized exercise populations in dietary recommendations positioned through the genetic map of individuals aim to optimize nutrition for health, body composition, and exercise performance. Sports nutritionists and nutritionists have long been good at reviewing more dietary guidelines on a size suitable for all general populations to suit various sports populations. However, the general individual extent turns everyone’s recommendation static exists. Genetic alterations are known to control immersion, uptake, absorption, use, and flow of nutrients and the biological activity of food, which ultimately affects several metabolic ways. These Nutrigenomics are investigational methods that genomic usage info besides challenging genetic knowledge to inspect the effects of modified athletes and their food ingredients in response to individual genetic differences. Even though they have been some several measurements that have the impact of these variables on the presentation of useful AIDS, there are also nutritional status, biomarkers that affect the interaction between exercise and exercise performance and genetic diet, and more the study. The continuous development of sports nutrition genomics formed by this foundation laid the foundation. We studied the discipline of genomic alteration of numerous dietetic elements that affect athletes’ nourishing eminence, body configuration, and at the end of sports performance.

Keywords: Nutrigenomic, nutrigenetic, improve the nutrition, exercise routine, genetic test, sports nutrition, caffeine, supplements