DocumentCode
2446539
Title
A survey on bee colony algorithms
Author
Bitam, Salim ; Batouche, Mohamed ; Talbi, El-Ghazali
Author_Institution
Comput. Sci. Dept., Mohamed Khider Univ., Biskra, Algeria
fYear
2010
fDate
19-23 April 2010
Firstpage
1
Lastpage
8
Abstract
This paper presents a survey of current research activities inspired by bee life. This work is intended to provide a broad and comprehensive view of the various principles and applications of these bio-inspired systems. We propose to classify them into two major models. The first one is based on the foraging behavior in the bee quotidian life and the second is inspired by the marriage principle. Different original studies are described and classified along with their applications, comparisons against other approaches and results. We then summarize a review of their derived algorithms and research efforts.
Keywords
optimisation; bee colony algorithms; bee quotidian life; bio-inspired systems; foraging behavior; marriage principle; Ant colony optimization; Application software; Biological system modeling; Biology computing; Computational biology; Computer science; Evolution (biology); Insects; Radiofrequency interference; Testing; bee inspiration; foraging behavior; marriage behavior; metaheurstic; optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 IEEE International Symposium on
Conference_Location
Atlanta, GA
Print_ISBN
978-1-4244-6533-0
Type
conf
DOI
10.1109/IPDPSW.2010.5470701
Filename
5470701
Link To Document