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
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;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2014 Sixth International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-1-4799-3434-8
DOI :
10.1109/ICMTMA.2014.82
