DocumentCode
131546
Title
Improved Ant Colony Algorithm for Evaluation of Graduates´ Physical Conditions
Author
Li Yan-Xia ; Li Lin ; Zhao Yang
Author_Institution
Dept..of Phys. Educ., Lang Fang Normal Univ., Langfang, China
fYear
2014
fDate
10-11 Jan. 2014
Firstpage
333
Lastpage
336
Abstract
The ant colony algorithm to optimize the fitness test time arrangements, and original ant colony algorithm has been improved, the improved selection strategies and pheromone adjustment guidelines to effectively improve the convergence speed of reconciliation performance, final for instance using a computer to calculate, and achieved good program.
Keywords
ant colony optimisation; computational complexity; NP-hard problem; convergence speed; fitness test time optimization; graduate physical condition evaluation; improved ant colony algorithm; improved selection strategy; pheromone adjustment guidelines; reconciliation performance; Automation; Mechatronics; ant colony algorithm; pheromone adjustment guidelines; selection strategy;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2014 Sixth International Conference on
Conference_Location
Zhangjiajie
Print_ISBN
978-1-4799-3434-8
Type
conf
DOI
10.1109/ICMTMA.2014.82
Filename
6802699
Link To Document