The Design of Half-pipe Snowboard Based on Genetic Algorithm
Authors
Feng Mai, Wei Xiang
Corresponding Author
Feng Mai
Available Online May 2017.
- DOI
- 10.2991/icmeit-17.2017.57How to use a DOI?
- Keywords
- List the, keywords covered, in your paper.
- 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/).
Cite this article
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 -