The Multiple Optimizations for the Physical Fitness Test Data of Campus Based on Repast

DOI

10.2991/meici-16.2016.18How to use a DOI?

Keywords

Physical fitness; Training scheme; Repast; Multiple optimization

Abstract

The physical fitness test plays an important role to testify the health level of the campus in our country. These test data is analyzed firstly to guide the training scheme making, which is one of effective approaches to enhance the level of the physical fitness of campus. In this paper, the corresponding data analysis method based on Repast is discussed. The mathematical model for testifying these data is constructed firstly. Then the multiple optimization algorithm is suggested to help the data mining from these data, which aims to form the effective training scheme. The physical fitness data from two universities are used as the experimental data and the corresponding results indicate that the proposed algorithm can obtain the intuitional results to choose the training scheme.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lei Li
PY  - 2016/09
DA  - 2016/09
TI  - The Multiple Optimizations for the Physical Fitness Test Data of Campus Based on Repast
BT  - Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)
PB  - Atlantis Press
SP  - 82
EP  - 86
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-16.2016.18
DO  - 10.2991/meici-16.2016.18
ID  - Li2016/09
ER  -