Research on improved strategy of ant colony optimization algorithm

被引:0
作者
Wang Rui [1 ]
Wang Jinguo [2 ]
Wang Na [3 ]
机构
[1] Jilin Business & Technol Coll, Dept Informat Engn, Jilin, Peoples R China
[2] Jilin Univ, Hosp 1, Dept Urol, Jilin, Peoples R China
[3] Jilin Univ, Hosp 1, Dept Anesthesiol, Jilin, Peoples R China
来源
PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MATERIAL, MECHANICAL AND MANUFACTURING ENGINEERING | 2015年 / 27卷
关键词
ant colony algorithm; Pheromone update;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper summarizes three kinds of improved strategies for ant colony optimization algorithm: the improved strategy based on the structure of solution, the improved strategy based on the pheromone updating, and the improved method based on the solution processing. Taking the ant colony system as an example, this paper expounds the three improved strategies and the improvement effect of these strategies are verified and compared by experiments.
引用
收藏
页码:942 / 945
页数:4
相关论文
共 6 条
[1]  
DICAROG DORIGOM, 1998, P ANTS 98 1 INT WORK
[2]  
Dorigo M., 1997, IEEE Trans. Evolutionary Comput.
[3]   Heuristic methods for vehicle routing problem with time windows [J].
Tan, KC ;
Lee, LH ;
Zhu, QL ;
Ou, K .
ARTIFICIAL INTELLIGENCE IN ENGINEERING, 2001, 15 (03) :281-295
[4]  
Taylor J.G., 1997, Handbook of Neural Computation
[5]  
WHITET, 1998, P INT C PAR DISTR PR
[6]  
Zhang Xiang-Sun, 2002, NONCONVEX OPTIMIZATI, V46