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Computational Intelligence in Sports pp 247–277Cite as

Sports Nutrition

Part of the Adaptation, Learning, and Optimization book series (ALO,volume 22)

Abstract

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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Fig. 11.1
Fig. 11.2

Notes

  1. 1.

    The percentages in brackets are for sedentary people.

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Authors and Affiliations

  1. Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia

    Iztok Fister & Iztok Fister Jr.

  2. Faculty of Economics and Business, University of Maribor, Maribor, Slovenia

    Dušan Fister

Authors
  1. Iztok Fister
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  2. Iztok Fister Jr.
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  3. Dušan Fister
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Correspondence to Iztok Fister .

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Fister, I., Fister Jr., I., Fister, D. (2019). Sports Nutrition. In: Computational Intelligence in Sports. Adaptation, Learning, and Optimization, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-030-03490-0_11

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