Skip to content
Publish & Distribute
Publishing Solutions
Distribution Solutions
Library Services
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Journal Matcher
Blog
Contact
Search
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
International Journal of Computer Science in Sport
Volume 20 (2021): Issue 1 (July 2021)
Open Access
Optimizing Team Sport Training With Multi-Objective Evolutionary Computation
Mark Connor
Mark Connor
Natural Computing Research And Applications Group, School of Business, University College Dublin
Ireland
Lero - The Irish Software Research Centre
Search for this author on
Sciendo
|
Google Scholar
Connor, Mark
,
David Faganan
David Faganan
Lero - The Irish Software Research Centre
Search for this author on
Sciendo
|
Google Scholar
Faganan, David
,
Barry Watters
Barry Watters
STATSports Group, Newry
Search for this author on
Sciendo
|
Google Scholar
Watters, Barry
,
Fergal McCaffery
Fergal McCaffery
Lero - The Irish Software Research Centre
STATSports Group, Newry
Dundalk Institute of Technology
Ireland
Search for this author on
Sciendo
|
Google Scholar
McCaffery, Fergal
and
Michael O’Neill
Michael O’Neill
Natural Computing Research And Applications Group, School of Business, University College Dublin
Ireland
Lero - The Irish Software Research Centre
Search for this author on
Sciendo
|
Google Scholar
O’Neill, Michael
Sep 25, 2021
International Journal of Computer Science in Sport
Volume 20 (2021): Issue 1 (July 2021)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Download Cover
Published Online:
Sep 25, 2021
Page range:
92 - 105
DOI:
https://doi.org/10.2478/ijcss-2021-0006
Keywords
TRAINING LOAD
,
GENETIC ALGORITHMS
,
EVOLUTIONARY COMPUTATIONS
,
ARTIFICIAL INTELLIGENCE
© 2021 Mark Connor et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.