Abstract
Planning the sports training sessions by an evolutionary computation and swarm intelligence-based algorithms has been becoming an interesting topic for research. Recently, many methods and techniques were proposed in theory and practice in order to help athletes in sports training. In a nutshell, integrating these methods and techniques in the same framework has resulted in creating an artificial sports trainer with abilities similar to a human trainer. In this chapter, we intend to extend the artificial sports trainer with an additional feature which enables athletes to generate a training plan on the basis of existing training courses tracked by mobile sports trackers. Experimental results suggest the usefulness of the proposed method.
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Fister Jr., I., Fister, I. (2017). Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence. In: Patnaik, S., Yang, XS., Nakamatsu, K. (eds) Nature-Inspired Computing and Optimization. Modeling and Optimization in Science and Technologies, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-319-50920-4_4
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DOI: https://doi.org/10.1007/978-3-319-50920-4_4
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