An Algorithm for Fairing Data Points Based on Genetic Algorithm
Authors
Zizhi Lin, Ding Yun, Sihui Shu, Mincheng Hu
Corresponding Author
Zizhi Lin
Available Online July 2015.
- DOI
- 10.2991/lemcs-15.2015.229How to use a DOI?
- Keywords
- Component; Genetic Algorithm; Data Point Set; Fairin
- Abstract
An algorithm for faring data points is presented in the paper. In this algorithm, researchers split data point set into several smaller point sets according to the number of data point set and features points of the point set, then genetic algorithm will be applied to fair each small point set. Details of this genetic such as fitness function to evaluate the fairness of point set, selection, crossover and mutation are also described in this paper. In order to accelerate its convergence speed, researchers develop the detection algorithm of feature points and the point set subdivision algorithm to control the size of population in per iteration. Experimental results show the efficiency of this method.
- Copyright
- © 2015, 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 - Zizhi Lin AU - Ding Yun AU - Sihui Shu AU - Mincheng Hu PY - 2015/07 DA - 2015/07 TI - An Algorithm for Fairing Data Points Based on Genetic Algorithm BT - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science PB - Atlantis Press SP - 1155 EP - 1159 SN - 1951-6851 UR - https://doi.org/10.2991/lemcs-15.2015.229 DO - 10.2991/lemcs-15.2015.229 ID - Lin2015/07 ER -