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 :
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