Genetic Algorithm Applied to Robotic Squad Coordination

The main goal of this paper is to describe the modeling, implementation and evaluation of the Genetic Algorithm´s (GA) efficiency when applied to robotic group formation and coordination. The robotic task in this paper is performed over a natural disaster, simulated as a forest fire. The robot squad mission is to surround the fire and avoid fire´s propagation. Experiments have been made with different chromosome models and several parameter´s variation. This paper describes all performed experiments detailing all sets of parameters, including positive and negative results. The simulation´s results showed that with an adequate set of parameters is possible to get satisfactory strategic positions for a multi-robotic system´s operation; furthermore, this GA solution can be applied on similar activities.