DocumentCode
2216342
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
Volume
1
fYear
2010
fDate
20-22 Aug. 2010
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location
Chengdu
ISSN
2154-7491
Print_ISBN
978-1-4244-6539-2
Type
conf
DOI
10.1109/ICACTE.2010.5579052
Filename
5579052
Link To Document