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
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;
Conference_Titel :
Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4577-1788-8
DOI :
10.1109/KAM.2011.50
