Planning the sports training sessions with the bat algorithm

Fister, Iztok, Rauter, Samo, Yang, Xin-She ORCID logoORCID: https://orcid.org/0000-0001-8231-5556, Ljubič, Karin and Fister, Iztok [Jr.] (2015) Planning the sports training sessions with the bat algorithm. Neurocomputing, 149 . pp. 993-1002. ISSN 0925-2312 [Article] (doi:10.1016/j.neucom.2014.07.034)

Abstract

Planning proper sports training has always been a very challenging task for coaches. In line with this, they need to have almost two special abilities: firstly, to have a lot of earlier experiences with sports training and secondly, to know the capability of their athletes very well. New ways in planning sports training have emerged with development of pervasive and mobile technologies. Recently, a GPS receiver is one of the most useful parts of each standard sports watch that enables athletes to track the duration of their sports activities and analyze them later on digital computers using GPS viewers. Most sport׳s watches are also capable of measuring an athlete׳s heart rate during activities. Both measures represent reliable data sources that can be used for planning the sports trainings by coaches. In this paper, we introduce a novel intelligent planning method for sports training sessions, where the training plans are generated on digital computers using the bat algorithm according to reliable data obtained from sports watches. Real-world experiments showed promising results that encouraged us to proceed with this research also in the future.

Item Type: Article
Additional Information: Volume 149, Part B, 3 February 2015
Keywords (uncontrolled): Sport training; Training load; Bat algorithm; Swarm intelligence
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 15622
Useful Links:
Depositing User: Xin-She Yang
Date Deposited: 30 Apr 2015 13:04
Last Modified: 10 Jun 2019 13:07
URI: https://eprints.mdx.ac.uk/id/eprint/15622

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