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Title: Evolutionary computation variants for cooperative spatial coordination
Authors: Yannakakis, Georgios N.
Levine, John
Hallam, John
Keywords: Evolutionary computation
Neural networks (Computer Science)
Computer games
Issue Date: 2005-09
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Yannakakis, G. N., Hallam, J., & Levine, J. (2005). Evolutionary computation variants for cooperative spatial coordination. Congress on Evolutionary Computation, 2005. CEC2005. Vol. 3. IEEE, Edinburgh, Scotland. 2715-2722.
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.
Appears in Collections:Scholarly Works - InsDG

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