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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), DOAJ, Electronic Journals Library, Engineering & Technology Digital Library, Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2013 Vol.1(3): 262-266 ISSN: 2301-3559
DOI: 10.7763/LNSE.2013.V1.57

Accelerated ABC (A-ABC) Algorithm for Continuous Optimization Problems

Ahmet Ozkis and Ahmet Babalik
Abstract—In this paper, accelerated artificial bee colony (A-ABC) method is presented. In A-ABC, two modifications are used on the Artificial Bee Colony (ABC) algorithm to progress its local search ability and convergence speed. Modifications are called as modification rate (MR) and step size (SS). In this study, we aim to investigate effects of using MR value and SS modification. Performances of the A-ABC and standard ABC are compared on well-known 7 different benchmark functions. Results show that A-ABC has generally better performance and faster convergence than standard version of the ABC algorithm.

Index Terms—ABC algorithm, meta-heuristic algorithms, swarm intelligence, optimization technique.

Ahmet Ozkis and Ahmet Babalik are with the Selçuk University, Faculty of Engineering, Department of Computer Engineering, 42070 Konya – Turkiye (e-mail: ahmetozkis@selcuk.edu.tr, ababalik@selcuk.edu.tr).


Cite: Ahmet Ozkis and Ahmet Babalik, "Accelerated ABC (A-ABC) Algorithm for Continuous Optimization Problems," Lecture Notes on Software Engineering vol. 1, no. 3, pp. 262-266, 2013.

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