Title :
A quick artificial bee colony -qABC- algorithm for optimization problems
Author :
Karaboga, Dervis ; Gorkemli, Beyza
Author_Institution :
Dept. of Comput. Eng., Erciyes Univ., Kayseri, Turkey
Abstract :
Artificial bee colony (ABC) algorithm is one of the most popular swarm intelligence based algorithms. ABC has been applied to solve several problems in various fields and also many researchers have attempted to improve ABC´s performance by making some modifications. This works aims to model the behaviour of foragers of artificial bee colony more accurately and improve the performance of ABC algorithm in terms of local search ability. Therefore, a new definition is introduced for the onlookers of ABC. The new ABC is tested on a set of benchmark problems.
Keywords :
artificial intelligence; optimisation; search problems; ABC algorithm performance improvement; forager behaviour modeling; local search ability; optimization problems; qABC algorithm; quick artificial bee colony algorithm; swarm intelligence based algorithms; Algorithm design and analysis; Clustering algorithms; Computers; Convergence; Euclidean distance; Optimization; Standards; artificial bee colony; optimization; swarm intelligence;
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA), 2012 International Symposium on
Conference_Location :
Trabzon
Print_ISBN :
978-1-4673-1446-6
DOI :
10.1109/INISTA.2012.6247010
