Title :
Study on improved ant colony algorithm of swarm intelligence algorithm
Author :
Li, Cheng ; Xianglin, Miao ; Changying, Wang ; Zhengping, Hu ; Dezhong, Wang
Author_Institution :
Coll. of Comput. & Inf., Fujian Agric. & Forestry Univ., Fuzhou, China
Abstract :
This article first introduces the basic principle and model of ant colony algorithm which is a kind of swarm intelligence algorithm, then analyzes the defect in large-scale optimization problems of basic ant colony algorithm, and concludes with an improved algorithm to improve execution efficiency and solution quality in solving large-scale problems.
Keywords :
combinatorial mathematics; optimisation; improved ant colony algorithm; large-scale optimization problems; swarm intelligence algorithm; Algorithm design and analysis; Computational modeling; Computers; Robustness; TSP problem; ant colony algorithm; routing strategy;
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6539-2
DOI :
10.1109/ICACTE.2010.5579349
