Skip to main content

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.

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-030-03490-0_11
  • Chapter length: 31 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   129.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-03490-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book
USD   169.99
Price excludes VAT (USA)
Fig. 11.1
Fig. 11.2

Notes

  1. 1.

    The percentages in brackets are for sedentary people.

References

  1. Dunford, M., Doyle, J.: Nutrition for Sport and Exercise. Cengage Learning, Boston, MA (2014)

    Google Scholar 

  2. Macedonio, M., Dunford, M.: The Athlete’s Guide to Making Weight. Human Kinetics (2009)

    Google Scholar 

  3. Office of Disease Prevention and Health Promotion: Dietary guidelines. https://health.gov/dietaryguidelines/ (2017). Accessed Nov 2017

  4. WebMD: My plate home. https://www.webmd.com/food-recipes/guide/myplate-food-groups-and-portions (2017). Accessed Nov 2017

  5. Bonci, L.: A food pyramid for athletes. https://www.runnersworld.com/ask-the-sports-dietitian/a-food-pyramid-for-athletes (2009). Accessed Nov 2017

  6. Seljak, B.K.: Dietary menu planning using an evolutionary method. In: 2006 International Conference on Intelligent Engineering Systems, pp. 108–113. IEEE (2006)

    Google Scholar 

  7. Seljak, B.K.: Computer-based dietary menu planning. J. Food Comp. Anal. 22(5), 414–420 (2009)

    CrossRef  Google Scholar 

  8. Pop, C.B., Chifu, V.R., Salomie, I., Cozac, A., Mesaros, I.: Particle swarm optimization-based method for generating healthy lifestyle recommendations. In: 2013 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP), pp. 15–21. IEEE (2013)

    Google Scholar 

  9. Kljusurić, J.G., Rumora, I., Kurtanjek, Ž.: Application of fuzzy logic in diet therapy—advantages of application. In: Fuzzy Logic-Emerging Technologies and Applications. INTECH Rijeka, Croatia (2012)

    Google Scholar 

  10. Orešković, P., Kljusurić, J.G., Šatalić, Z.: Computer-generated vegan menus: the importance of food composition database choice. J. Food Comp. Anal. 37, 112–118 (2015)

    CrossRef  Google Scholar 

  11. Storn, R., Price, K.: Differential evolution—a simple and efficient heuristic for global optimization over continuous spaces. J. Global Opt. 11(4), 341–359 (1997). https://doi.org/10.1023/A:1008202821328

    MathSciNet  CrossRef  MATH  Google Scholar 

  12. Rodriguez, N., Di Marco, N., Langley, S.: American college of sports medicine position stand. Nutrition and athletic performance. Med. Sci. Sports Exerc. 41(3), 709–731 (2016). https://doi.org/10.1249/MSS.0b013e31890eb86

  13. Hall, J.E.: Guyton and Hall Textbook of Medical Physiology. Elsevier Health Sciences. Saunders-Elsevier, Saint Luis, MI (2015)

    Google Scholar 

  14. Clark, N.: Clark’s Sports Nutrition Guidebook, 5th edn. Human Kinetics, Newton, MA (2013)

    Google Scholar 

  15. United States Department of Agriculture: MyPyramid. https://www.cnpp.usda.gov/mypyramid (2017). Accessed Nov 2017

  16. United States Department of Agriculture: National agricultural library. https://www.nal.usda.gov/fnic (2017). Accessed Nov 2017

  17. Jaret, P.: 5 nutrition tips for athletes. https://www.webmd.com/fitness-exercise/features/nutrition-tips-athletes#1 (2017). Accessed Nov 2017

  18. MacMillan, A.: The 9 best foods for athletes. https://www.outsideonline.com/1869731/9-best-foods-athletes (2013). Accessed Nov 2017

  19. Eiben, A.E., Smith, J.E.: Introduction to Evolutionary Computing. Springer, Berlin (2003)

    CrossRef  Google Scholar 

  20. Mernik, M., Heering, J., Sloane, A.M.: When and how to develop domain-specific languages. ACM Comput. Surv. 37(4), 316–344 (2005). https://doi.org/10.1145/1118890.1118892

    CrossRef  Google Scholar 

  21. Fister Jr., I., Fister, I., Mernik, M., Brest, J.: Design and implementation of domain-specific language Easytime. Comput. Lang. Syst. Struct. 37(4), 151–167 (2011). https://doi.org/10.1016/j.cl.2011.04.001

    CrossRef  Google Scholar 

  22. Murphy, S.P., Yaktine, A.L., Suitor, C.W., Moats, S.: Child and Adult Care Food Program: Aligning Dietary Guidance for All. The National Academies Press, Washington, DC (2011). https://doi.org/10.17226/12959

  23. Deb, K., Kalyanmoy, D.: Multi-Objective Optimization Using Evolutionary Algorithms. Wiley Inc, New York, NY, USA (2001)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Iztok Fister .

Rights and permissions

Reprints and Permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Verify currency and authenticity via CrossMark

Cite this chapter

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

Download citation