DocumentCode
3131818
Title
Niche Ant Colony Algorithm and Simulation Study
Author
Chao-li, Tang ; You-rui, Huang ; Ji-yun, Li ; Xiao-min, Tian
Author_Institution
Inst. of Electr. & Inf. Eng., Anhui Univ. of Sci. & Technol., Huainan, China
fYear
2011
fDate
8-9 Oct. 2011
Firstpage
161
Lastpage
164
Abstract
A niche ant colony algorithm (NACA) for multi-modal function optimization, which bases on principle of ant colony algorithm, is devised. It adopts real code. By simulation research of the NACA, and comparing with correlative algorithms, the results show that the NACA has advantages, such as easy to select parameters, strong adaptability, and good convergence, and is very suitable for multi-modal functions optimization with searching for multiple optimal solutions or global optimal solutions.
Keywords
ant colony optimisation; NACA; correlative algorithm; multimodal function optimization; niche ant colony algorithm; Adaptation models; Algorithm design and analysis; Convergence; Encoding; Genetic algorithms; Optimization; Search problems; ant colony algorithm; multi-modal function optimization; niche technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
Conference_Location
Sanya
Print_ISBN
978-1-4577-1788-8
Type
conf
DOI
10.1109/KAM.2011.50
Filename
6137604
Link To Document