DocumentCode
342630
Title
An evolutionary approach to multiagent heap formation
Author
Barfoot, T.D. ; D´Eleuterio, G.M.T.
Author_Institution
Inst. for Aerosp. Studies, Toronto Univ., Ont., Canada
Volume
1
fYear
1999
fDate
1999
Abstract
An approach to evolving globally coordinated behaviours in groups of autonomous mobile robots is presented. The control system in each robot is identical and consists of a cellular automaton which serves to arbitrate between a number of fixed basis behaviours. Genetic algorithms search for cellular automata whose arbitration results in success on a predefined task. Heap formation is presented as an example of a task requiring global coordination. Simulation results are provided
Keywords
cellular automata; genetic algorithms; mobile robots; multi-agent systems; search problems; autonomous mobile robots; cellular automaton; control system; evolutionary approach; fixed basis behaviour; genetic algorithms; global coordination; globally coordinated behaviour evolution; heap formation; multiagent heap formation; predefined task; Automata; Automatic control; Centralized control; Communication system control; Control systems; Distributed control; Insects; Mobile robots; Robot kinematics; Robotics and automation;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location
Washington, DC
Print_ISBN
0-7803-5536-9
Type
conf
DOI
10.1109/CEC.1999.781955
Filename
781955
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