Evolution of neuro-controllers for flapping-wing animats
Résumé
This article reports preliminary results obtained with an evolutionary approach to the design of neural controllers for flapping-wing animats. This approach involves a multi-objective evolutionary algorithm and continuous-time neural networks. It has been used to automatically generate controllers securing an energetically thrifty horizontal flight at constant speed in a simulated artificial bird.