DocumentCode :
3629002
Title :
A general modeling framework for swarms
Author :
Jelmer van Ast;Robert Babuska;Bart De Schutter
Author_Institution :
Delft Center for Systems and Control of the Delft University of Technology, Mekelweg 2, 2628 CD, The Netherlands
fYear :
2008
fDate :
6/1/2008 12:00:00 AM
Firstpage :
3795
Lastpage :
3800
Abstract :
Swarms are characterized by the ability to generate complex behavior from the coupling of simple individuals. While the swarm approach to distributed systems of moving agents is gradually finding a way to engineering applications, a true successful demonstration of an engineered swarm is still missing. One of the reasons for this is the gap between the complexity of the swarms studied in fundamental research and the complexity needed for the application to interesting control problems. In the majority of the research on swarm intelligent systems, the moving agents in the swarm are modeled as simple reactive agents. This model comprises too little intelligence to fully exploit the potential of swarms. In this paper, a general comprehensive swarm framework is introduced and related to the established state of the art. Such a framework is novel and it is a first and important step in the development and analysis of more complex and intelligent swarms.
Keywords :
"Robots","Robot sensing systems","Particle swarm optimization","Sensors","Decision making","Communication channels","Optimization"
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
ISSN :
1089-778X
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
1941-0026
Type :
conf
DOI :
10.1109/CEC.2008.4631312
Filename :
4631312
Link To Document :
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