DocumentCode
3366695
Title
Artificial Bee Colony Algorithm with Two-Stage Eagle Strategy
Author
Ruimin Jia ; Dengxu He
Author_Institution
Coll. of Inf. Sci. & Eng., Guangxi Univ. for Nat., Nanning, China
fYear
2013
fDate
14-15 Dec. 2013
Firstpage
16
Lastpage
20
Abstract
Pointing at that Artificial Bee Colony Algorithm (ABC) has the defect of slow search speed and low precision, the article proposed an Improved Artificial Bee Colony Algorithm with Two-Eagle Strategy (ETABC) through using a kind of optimization method-Eagle Strategy, and proved the convergence of ETABC. The simulation results show that ETABC is more effective in solving optimization problems.
Keywords
optimisation; search problems; swarm intelligence; ETABC; convergence; improved artificial bee colony algorithm; optimization problems; search speed; two-stage eagle strategy; Convergence; Educational institutions; Optimization; Search problems; Time complexity; Tin; Transforms; Artificial Bee Colony Algorithm; Eagle Strategy; convergence; cuckoo search;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security (CIS), 2013 9th International Conference on
Conference_Location
Leshan
Print_ISBN
978-1-4799-2548-3
Type
conf
DOI
10.1109/CIS.2013.11
Filename
6746347
Link To Document