Title :
Current Status of Ant Colony Optimization Algorithm Applications
Author :
Wu, Qinghong ; Ma, Zongmin ; Zhang, Ying
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
As a novel evolutionary computation technology, swarm intelligence is now becoming a new research hotspot. As a representative method of swarm intelligence, ant colony optimization (ACO) is a novel simulated evolutionary algorithm which was proposed first by M. Dorigo and has been applied in many fields. The current status of ACO applications is given in this paper.
Keywords :
evolutionary computation; ant colony optimization algorithm application; evolutionary computation technology; simulated evolutionary algorithm; swarm intelligence; ACO; TSP; swarm intelligence;
Conference_Titel :
Web Information Systems and Mining (WISM), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8438-6
DOI :
10.1109/WISM.2010.102
