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.
- evolutionary computation
- genetic algorithms
- multi-agent systems
- search problems
Yannakakis, G., Levine, J. M., & Hallam, J. (2005). Evolutionary computation variants for cooperative spatial coordination. In Proceedings of the 2005 IEEE Congress on Evolutionary Computation (Vol. 3, pp. 2715-2722). IEEE. https://doi.org/10.1109/CEC.2005.1555035