Iztok Fister
Janez Brest
ABSTRACT
In recent years, planning sport training sessions with computational intelligence have been studied by many authors. Most of the algorithms were used for proposing basic and advanced training plans for athletes. In a nutshell, most of the solutions focused on the individual sports disciplines, such as, for example, cycling and running. To the knowledge of the authors, few efforts were invested into planning sports training sessions in triathlon. Triathlon is considered as a popular multi-disciplinary sport consisting of three different sport disciplines. Therefore, planning the triathlon training sessions is much harder than the planning in individual sport disciplines. In this paper, we propose an initial framework for planning triathlon training sessions using Particle Swarm Optimization. Preliminary results are also shown.
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Index Terms
- Framework for planning the training sessions in triathlon
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