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

Full text not available in this repository.Request a copy from the Strathclyde author


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.