Evolutionary computation variants for cooperative spatial coordination

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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 (http://dx.doi.org/10.1109/CEC.2005.1555035)

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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.

ORCID iDs

Yannakakis, G., Levine, J.M. ORCID logoORCID: https://orcid.org/0000-0001-7016-2978 and Hallam, J.;
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