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Optimizing Team Sport Training With Multi-Objective Evolutionary Computation

Open Access
|Sep 2021

References

  1. Banister, E., Calvert, T., Savage, M., & Bach, T. (1975). A systems model of training for athletic performance. Australian Journal of Sports and Medicine, 7, 57-61.
  2. Beato, M., Coratella, G., Stiff, A., & Dello Iacono, A. (2018). The validity and between-unit variability of GNSS units (STATSports Apex 10 and 18 Hz) for measuring distance and peak speed in team sports. Frontiers in Physiology, 9, 1288.10.3389/fphys.2018.01288616163330298015
  3. Beato, M., & de Keijzer, K. (2019). The inter-unit and inter-model reliability of GNSS STATSports Apex and Viper units in measuring peak speed over 5, 10, 15, 20 and 30 meters. Biology of Sport, 36(4), 317–321.10.5114/biolsport.2019.88754694504731938002
  4. Bompa, T. O., & Buzzichelli, C. (2019). Periodization : theory and methodology of training. Champaign, IL: Human Kinetics.
  5. Borresen, J., & Ian Lambert, M. (2009). The quantification of training load, the training response and the effect on performance (Vol. 39).10.2165/11317780-000000000-0000019691366
  6. Carey, D., Crow, J., Ong, K., Blanch, P., Morris, M., Dascombe, B., & Crossley, K. (2018). Optimizing Preseason Training Loads in Australian Football. International Journal of Sports Physiology and Performance, 13(2), 194–199.10.1123/ijspp.2016-069528530474
  7. Chmura, P., Andrzejewski, M., Konefal, M., Mroczek, D., Rokita, A., & Chmura, J. (2017). Analysis of Motor Activities of Professional Soccer Players during the 2014 World Cup in Brazil. Journal of Human Kinetics, 56(1), 187–195.10.1515/hukin-2017-0036538406628469757
  8. Coello Coello, C., Lamont, G., & Van Veldhuisen, D. (2007). Evolutionary algorithms for solving multi-objective problems. Springer.
  9. Connor, M., Fagan, D., & O’Neill, M. (2019). Optimising team sport training plans with grammatical evolution. In 2019 ieee congress on evolutionary computation (cec) (p. 2474-2481).10.1109/CEC.2019.8790369
  10. Deb, K. (2001). Multi-objective optimization using evolutionary algorithms. John Wiley & Sons.
  11. Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002, April). A fast and elitist multiobjective genetic algorithm: Nsga-ii. IEEE Transactions on Evolutionary Computation, 6(2), 182-197.10.1109/4235.996017
  12. Dempsey, I., O’Neill, M., & Brabazon, A. (2009). Foundations in grammatical evolution for dynamic environments (1st ed.). Springer Publishing Company, Incorporated.
  13. Fenton, M., McDermott, J., Fagan, D., Forstenlechner, S., Hemberg, E., & O’Neill, M. (2017). Ponyge2. Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO ’17.10.1145/3067695.3082469
  14. Graham, S., Cormack, S., Parfitt, G., & Eston, R. (2018). Relationships between model estimates and actual match-performance indices in professional australian footballers during an in-season macrocycle. International Journal of Sports Physiology and Performance, 13(3), 339 - 346.10.1123/ijspp.2017-002628714739
  15. Harper, D. J., & Kiely, J. (2018). Damaging nature of decelerations: Do we adequately prepare players? BMJ Open Sport & Exercise Medicine, 4(1).10.1136/bmjsem-2018-000379608931230112183
  16. Harrell, F. E. (2006). Regression modeling strategies. Berlin, Heidelberg: SpringerVerlag.
  17. Hodges, J. (1958). The significance probability of the smirnov two-sample test. Arkiv f¨or matematik, 3(5), 469–486.10.1007/BF02589501
  18. Issurin, V. (2008). Block periodization versus traditional training theory: a review. The Journal of sports medicine and physical fitness, 48(1), 65–75.
  19. Jaspers, A., Brink, M. S., Probst, S. G., Frencken, W. G., & Helsen, W. F. (2017). Relationships Between Training Load Indicators and Training Outcomes in Professional Soccer (Vol. 47) (No. 3). Springer International Publishing.10.1007/s40279-016-0591-027459866
  20. Jones, R., Greig, M., Maw´en´e, Y., Barrow, J., & Page, R. (2019). The influence of short-term fixture congestion on position specific match running performance and external loading patterns in English professional soccer. Journal of Sports Sciences, 37(12), 1338–1346.10.1080/02640414.2018.155856330563419
  21. Konefal, M., Chmura, P., Kowalczuk, E., Figueiredo, A., Sarmento, H., Rokita, A., ... Andrzejewski, M. (2019, may). Modeling of relationships between physical and technical activities and match outcome in elite German soccer players. Journal of Sports Medicine and Physical Fitness, 59(5), 752–759.10.23736/S0022-4707.18.08506-729877676
  22. Kruschke, J. K. (2013). Bayesian estimation supersedes the t test. Journal of Experimental Psychology: General, 142(2), 573–603.10.1037/a002914622774788
  23. Ladany, S. P. (1975). Optimization of Pentathlon Training Plans. Management Science, 21(10), 1144–1155. doi:10.1287/mnsc.21.10.1144
  24. Lazarus, B., Stewart, A., White, K., Rowell, A., Esmaeili, A., Hopkins, W., & Aughey, R. (2017). Proposal of a Global Training Load Measure Predicting Match Performance in an Elite Team Sport. Frontiers in physiology, 8, 930.10.3389/fphys.2017.00930570231129209229
  25. Longo, U., Sofi, F., Candela, V., Dinu, M., Cimmino, M., Massaroni, C., ... Denaro, V. (2019). Performance activities and match outcomes of professional soccer teams during the 2016/2017 serie a season. Medicina (Lithuania), 55(8).10.3390/medicina55080469672365431408996
  26. Mara, J., Thompson, K., Pumpa, K., & Ball, N. (2015). Periodization and physical performance in elite female soccer players. International Journal of Sports Physiology and Performance, 10(5), 664–669.10.1123/ijspp.2014-034525611789
  27. Meckel, Y., Doron, O., Eliakim, E., & Eliakim, A. (2018). Seasonal Variations in Physical Fitness and Performance Indices of Elite Soccer Players. Sports, 6(1), 14.10.3390/sports6010014596919329910318
  28. O’Neill, M., & Ryan, C. (2001). Grammatical evolution. IEEE Transactions on Evolutionary Computation, 5(4), 349–358.10.1109/4235.942529
  29. O’Neill, M., & Ryan, C. (2003). Grammatical evolution: Evolutionary automatic programming in an arbitrary language. Norwell, MA, USA: Kluwer Academic Publishers.10.1007/978-1-4615-0447-4
  30. Schaefer, D., Asteroth, A., & Ludwig, M. (2015). Training plan evolution based on training models. In 2015 international symposium on innovations in intelligent systems and applications (inista) (p. 1-8). IEEE.10.1109/INISTA.2015.7276739
  31. Slattery, K., Wallace, L., Bentley, D., & Coutts, A. (2012). Effect of training load on simulated team sport match performance. Applied Physiology, Nutrition, and Metabolism, 37(2), 315–322.10.1139/h2012-00122452610
  32. Stagno, K. M., Thatcher, R., & van Someren, K. A. (2007). A modified TRIMP to quantify the in-season training load of team sport players. Journal of Sports Sciences, 25(6), 629–634.10.1080/0264041060081181717454529
  33. Storn, R., & Price, K. (1997). Differential Evolution - A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces. Journal of Global Optimization, 11(4), 341–359.10.1023/A:1008202821328
  34. Tierney, P., Tobin, D., Blake, C., & Delahunt, E. (2017). Attacking 22 entries in rugby union: running demands and differences between successful and unsuccessful entries. Scandinavian Journal of Medicine and Science in Sports, 27(12), 1934– 1941.10.1111/sms.1281628028894
  35. Trewin, J., Meylan, C., Varley, M., & Cronin, J. (2018, feb). The match-to-match variation of match-running in elite female soccer. Journal of Science and Medicine in Sport, 21(2), 196–201.10.1016/j.jsams.2017.05.00928595867
  36. Tsamardinos, I., Greasidou, E., & Borboudakis, G. (2018, dec). Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation. Machine Learning, 107(12), 1895–1922.10.1007/s10994-018-5714-4619102130393425
  37. Williams, S., West, S., Cross, M., & Stokes, K. (2017). Better way to determine the acute:chronic workload ratio? British Journal of Sports Medicine, 51(3), 209–210.10.1136/bjsports-2016-09658927650255
  38. Wright, M. B. (2009). 50 years of or in sport. Journal of the Operational Research Society, 60, 161-168.10.1057/jors.2008.170
Language: English
Page range: 92 - 105
Published on: Sep 25, 2021
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 times per year

© 2021 Mark Connor, David Faganan, Barry Watters, Fergal McCaffery, Michael O’Neill, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.