Int. J. of Wireless and Mobile Computing   »   2015 Vol.9, No.4

 

 

Title: A hybrid artificial bee colony algorithm based on different search mechanisms

 

Authors: Hui Sun; Bing Li; Qing Yu

 

Addresses:
School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, China; Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang 330099, China
School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, China; Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang 330099, China
School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, China; Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang 330099, China

 

Abstract: In order to overcome the drawbacks of standard artificial bee colony (ABC) algorithm, such as slow convergence and low solution accuracy, a hybrid ABC algorithm based on different search mechanisms is proposed in this paper. According to the type of position information in ABC, three basic search mechanisms are summarised which include searching around the individual, the random neighbour, and the global best solution. Then, the basic search mechanisms are improved to obtain three search strategies. All of these strategies can make a good balance between exploration and exploitation. At every iteration, each bee randomly selects a search strategy to produce a candidate solution under the same probability. The experiment is conducted on 12 classical functions and 28 CEC2013 functions. Results show that the new algorithm performs significantly better than several recently proposed similar algorithms in terms of the convergence speed and solution accuracy.

 

Keywords: artificial bee colony; ABC; search mechanisms; exploration; convergence speed; global optimisation; exploitation.

 

DOI: 10.1504/IJWMC.2015.074033

 

Int. J. of Wireless and Mobile Computing, 2015 Vol.9, No.4, pp.383 - 390

 

Submission date: 02 Jun 2015
Date of acceptance: 28 Jun 2015
Available online: 02 Jan 2016

 

 

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