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Evolutionary computation variants for cooperative spatial coordination

Yannakakis, G. and Levine, J.M. and Hallam, J. (2005) Evolutionary computation variants for cooperative spatial coordination. In: Proceedings of the 2005 IEEE Congress on Evolutionary Computation. IEEE, pp. 2715-2722. ISBN 0-7803-9363-5

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Abstract

This paper presents a comparative study between genetic and probabilistic search approaches of evolutionary computation. They are both applied for optimizing the behavior of multiple neural-controlled homogeneous agents whose spatial coordination tasks can only be successfully achieved through emergent cooperation. Both approaches demonstrate effective solutions of high performance; however, the genetic search approach appears to be both more robust and computationally preferred for this multi-agent case study.

Item type: Book Section
ID code: 8574
Keywords: evolutionary computation, genetic algorithms, multi-agent systems, search problems, Electronic computers. Computer science
Subjects: Science > Mathematics > Electronic computers. Computer science
Department: Faculty of Science > Computer and Information Sciences
Related URLs:
    Depositing user: Strathprints Administrator
    Date Deposited: 30 Sep 2009 15:12
    Last modified: 06 Sep 2014 04:53
    URI: http://strathprints.strath.ac.uk/id/eprint/8574

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