Embodied evolution versus cooperative coevolution in multi-robot optimization
Pedro Trueba, Abraham Prieto, Francisco Bellas · Proceedings of the Genetic and Evolutionary Computation Conference Companion · 2017
In this paper we show the potentiality of Embodied Evolution in the optimization of general multi-robot systems, as compared to state-of-the-art approaches based on Cooperative Coevolution. The comparison is carried out in a real application problem of coordinating a team of autonomous UAVs for surveillance which, in parallel, must optimize their location accuracy. The results show the advantages of using Embodied Evolution algorithms to notably reduce the number of evolution steps while maintaining the performance level.