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