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
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;
Conference_Titel :
Computational Intelligence and Security (CIS), 2013 9th International Conference on
Conference_Location :
Leshan
Print_ISBN :
978-1-4799-2548-3
DOI :
10.1109/CIS.2013.11
