Title :
An ABC algorithm with inversely proportional mutation
Author :
Babayigit, Bilal ; Ozdemir, Resul
Author_Institution :
Dept. of Comput. Eng., Erciyes Univ., Kayseri, Turkey
Abstract :
Artificial bee colony (ABC) algorithm has been very popular in the last few years in computational intelligence research area. This paper proposes a modified version of the ABC algorithm for solving numerical function optimization problems. The purpose of this modified ABC algorithm is to improve the exploitation capability of the ABC algorithm. For this purpose, the proposed ABC uses an inversely proportional mutation function and a new search mechanism. Experiments are performed on a set of 9 widely used benchmark problems. The experimental results show that this modified ABC algorithm outperforms the standard ABC algorithm.
Keywords :
artificial intelligence; optimisation; ABC algorithm; artificial bee colony algorithm; computational intelligence research area; exploitation capability; inversely proportional mutation function; numerical function optimization problems; Algorithm design and analysis; Benchmark testing; Computers; Convergence; Educational institutions; Optimization; Standards; Computational intelligence; artificial bee colony algorithm; inversely proportional mutation; numerical function optimization; search mechanism;
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.2012.6246981