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Artificial Bee Colony Algorithm: A Survey

by Sangeeta Sharma, Pawan Bhambu
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 149 - Number 4
Year of Publication: 2016
Authors: Sangeeta Sharma, Pawan Bhambu
10.5120/ijca2016911384

Sangeeta Sharma, Pawan Bhambu . Artificial Bee Colony Algorithm: A Survey. International Journal of Computer Applications. 149, 4 ( Sep 2016), 11-19. DOI=10.5120/ijca2016911384

@article{ 10.5120/ijca2016911384,
author = { Sangeeta Sharma, Pawan Bhambu },
title = { Artificial Bee Colony Algorithm: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 149 },
number = { 4 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 11-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume149/number4/25984-2016911384/ },
doi = { 10.5120/ijca2016911384 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:53:48.334749+05:30
%A Sangeeta Sharma
%A Pawan Bhambu
%T Artificial Bee Colony Algorithm: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 149
%N 4
%P 11-19
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Artificial bee colony optimization algorithm is one of the popular swarm intelligence technique anticipated by D. Karaboga in year 2005. Since its inception, this algorithm was modified by a number of researchers and applied in different areas of engineering, science and management to solve very complex problems. This algorithm is very simple to implement and has the least number of control parameters. In the last two decades, a large number of new algorithm based on natural phenomenon like artificial bee colony algorithm are developed and used to find solution of many real world problems. This paper provides a state of the art survey of ABC algorithm and analysis of its performance with different size of population.

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Index Terms

Computer Science
Information Sciences

Keywords

Nature Inspired Algorithm Memetic algorithm Swarm intelligence Evolutionary computation.

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