Title :
An Artificial Bee Colony Optimization Algorithm Guided by Complex Method
Author :
Dengxu He ; Ruimin Jia ; Shaotang Shi
Author_Institution :
Coll. of Assoc. of Southeast Asian Nations, Guangxi Univ. for Nat., Nanning, China
Abstract :
Artificial Bee Colony Algorithm (ABC) got larger objective function value at the beginning of iteration and easily fell into local optimum at the end of iteration. in view of this, the article proposed an improved Artificial Bee Colony algorithm guided by complex method. the results of function test and example test showed that the improved Algorithm overcome the flaw of ABC in a certain extent.
Keywords :
iterative methods; optimisation; ABC; artificial bee colony optimization algorithm; complex method; example test; function test; iteration; objective function value; Computational intelligence; Artificial Bee Colony algorithm (ABC); complex method; guide;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
DOI :
10.1109/ISCID.2012.94
