Volume 2, Issue 5, October 2014, Page: 71-80
A Novel Artificial Bee Colony Algorithm with an Overall-Degradation Strategy and Its Performance on the Benchmark Functions of CEC 2014 Special Session
Bai Li, School of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China ; School of Advanced Engineering, Beijing University of Aeronautics and Astronautics, Beijing, 100191, China; Department of Chemical Engineering, National Tsing Hua University, Hsinchu, 30013, Taiwan
Received: Jan. 23, 2014;       Accepted: Sep. 4, 2014;       Published: Sep. 30, 2014
DOI: 10.11648/j.acis.20140205.11      View  3384      Downloads  231
Abstract
The artificial bee colony (ABC) algorithm has been a well-known swarm intelligence algorithm, which assimilates the cooperating behavior of bees when seeking for nectar sources. Aiming to improve the conventional ABC algorithm, we focus on the re-initialization phase. In this paper, an overall-degradation-oriented artificial bee colony (OD-ABC) algorithm is proposed, pursuing to fight against premature convergence. This is achieved through re-initializing majority of the employed bees at one time, rather than generating at most one scout bee in each iteration. In this work, our OD-ABC algorithm is compared against the conventional ABC algorithms using 24 benchmark functions that origin from the CEC 2014’s competition on single objective real-parameter numerical optimization. The numerical results show that the OD-ABC algorithm is effective and thus can be employed to fight against premature convergence.
Keywords
Artificial Bee Colony, Numerical Optimization, CEC 2014 Competition, Overall Degradation Strategy, Evolutionary Algorithm
To cite this article
Bai Li, A Novel Artificial Bee Colony Algorithm with an Overall-Degradation Strategy and Its Performance on the Benchmark Functions of CEC 2014 Special Session, Automation, Control and Intelligent Systems. Vol. 2, No. 5, 2014, pp. 71-80. doi: 10.11648/j.acis.20140205.11
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