Title :
Progresses of ant colony optimization algorithm applications
Author :
Wu, Qinghong ; Zhang, Ying ; Ma, Zongmin
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
The swarm intelligence is attracted by scholars in many fields by its special advantages, and its theories and applications have been developed greatly. As a representative method of swarm intelligence, ant colony optimization (ACO) is used widely because of its realization simply, positive feedback and distribution. The review of the new applications for ACO and its prospect are given in this paper.
Keywords :
particle swarm optimisation; ant colony optimization algorithm; particle swarm optimization; positive feedback; swarm intelligence; Adaptation model; Computational modeling; Computers; Image segmentation; Search problems; Vehicle dynamics; Weapons; ACO; TSP; swarm intelligence;
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.2010.5579052
