Arvin, Farshad and Samsudin, Khairulmizam and Ramli , Abdul Rahman and Bekravi, Masoud (2011) Imitation of honeybee aggregation with collective behavior of swarm robots. International Journal of Computational Intelligence Systems, 4 (5). 739 -748. ISSN 1875-6891

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Abstract

This paper analyzes the collective behaviors of swarm robots that play role in the aggregation scenario. Honeybee aggregation is an inspired behavior of young honeybees which tend to aggregate around an optimal zone. This aggregation is implemented based on variation of parameters values. In the second phase, two modifications on original honeybee aggregation namely dynamic velocity and comparative waiting time are proposed. Results of the performed experiments showed the significant differences in collective behavior of the swarm system for different algorithms.

Item Type:	Article
Additional Information:	This paper analyzes the collective behaviors of swarm robots that play role in the aggregation scenario. Honeybee aggregation is an inspired behavior of young honeybees which tend to aggregate around an optimal zone. This aggregation is implemented based on variation of parameters values. In the second phase, two modifications on original honeybee aggregation namely dynamic velocity and comparative waiting time are proposed. Results of the performed experiments showed the significant differences in collective behavior of the swarm system for different algorithms.
Keywords:	Swarm Robotics, Swarm Intelligence, Collective behavior
Subjects:	G Mathematical and Computer Sciences > G700 Artificial Intelligence H Engineering > H671 Robotics
Divisions:	College of Sciences > Faculty of Science > Lincoln School of Computer Science
Depositing User:	Farshad Arvin
Date Deposited:	10 May 2012 17:03
Last Modified:	13 Mar 2013 09:08
URI:	http://eprints.lincoln.ac.uk/id/eprint/5515

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