The Design of Half-pipe Snowboard Based on Genetic Algorithm

DOI

10.2991/icmeit-17.2017.57How to use a DOI?

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Abstract

In this paper, we studied the design about the snowboarding runs based on Genetic Algorithm (GA). GA is an adaptive optimized algorithm of probability search which simulates heredity and evolution of biology in environment. Assuming athletes reach the highest height as they can, we proposed a model with flight height as objective function. And then we figured out the ski runs' length, radius of curvature, angle of inclination and width of bottom platform by using GA.

Copyright

© 2017, 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  - Feng Mai
AU  - Wei Xiang
PY  - 2017/05
DA  - 2017/05
TI  - The Design of Half-pipe Snowboard Based on Genetic Algorithm
BT  - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 293
EP  - 297
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.57
DO  - 10.2991/icmeit-17.2017.57
ID  - Mai2017/05
ER  -