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Optimizing Team Sport Training With Multi-Objective Evolutionary Computation Cover

Optimizing Team Sport Training With Multi-Objective Evolutionary Computation

International Journal of Computer Science in Sport
Volume 20 (2021): Issue 1 (July 2021)
By: Mark Connor,  David Faganan,  Barry Watters,  Fergal McCaffery and  Michael O’Neill  
Open Access
|Sep 2021

Authors

Mark Connor

Natural Computing Research And Applications Group, School of Business, University College Dublin, Ireland
Lero - The Irish Software Research Centre

David Faganan

Lero - The Irish Software Research Centre

Barry Watters

STATSports Group, Newry

Fergal McCaffery

Lero - The Irish Software Research Centre
STATSports Group, Newry
Dundalk Institute of Technology, Ireland

Michael O’Neill

Natural Computing Research And Applications Group, School of Business, University College Dublin, Ireland
Lero - The Irish Software Research Centre
DOI: https://doi.org/10.2478/ijcss-2021-0006 | Journal eISSN: 1684-4769
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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 issues per year
Keywords:
TRAINING LOAD,
GENETIC ALGORITHMS,
EVOLUTIONARY COMPUTATIONS,
ARTIFICIAL INTELLIGENCE
Related subjects:
Computer sciences,
Databases and data mining,
Computer sciences, other,
Sports and recreation,
Physical education,
Sports and recreation, other

© 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.

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