Sports nutrition

(Sporternährung)

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.
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Bibliographische Detailangaben
Schlagworte:
Notationen:Naturwissenschaften und Technik Trainingswissenschaft Biowissenschaften und Sportmedizin
Tagging:künstliche Intelligenz
Veröffentlicht in:Computational intelligence in sports
Sprache:Englisch
Veröffentlicht: Cham Springer 2018
Schriftenreihe:Adaptation, Learning, and Optimization, 22
Online-Zugang:https://doi.org/10.1007/978-3-030-03490-0_11
Seiten:247-277
Dokumentenarten:Artikel
Level:hoch