4058387
Sports nutrition
This chapter presents an automatic construction of sports dietary plans based on the training plan generated by an artificial sports trainer. Differential evolution serves as the core algorithm for this purpose. The goal of this algorithm is to select the suitable foods from a food list dataset according to estimated macro-nutrient requirements. The main advantage of the algorithm is introduced by a domain-specific language for food description that allows a flexibility and autonomy in the construction of the dietary plans.
© Copyright 2018 Computational intelligence in sports. Published by Springer. All rights reserved.
| Subjects: | |
|---|---|
| Notations: | technical and natural sciences training science biological and medical sciences |
| Tagging: | künstliche Intelligenz |
| Published in: | Computational intelligence in sports |
| Language: | English |
| Published: |
Cham
Springer
2018
|
| Series: | Adaptation, Learning, and Optimization, 22 |
| Online Access: | https://doi.org/10.1007/978-3-030-03490-0_11 |
| Pages: | 247-277 |
| Document types: | article |
| Level: | advanced |