Conflict-free trajectory optimization using B-Splines and Genetic Algorithm

Laurent Lapasset (1) , Clément Peyronne (1) , Benoit Hermeline (1)

1 Capgemini [Toulouse]

Our methodology aims to generate optimal conflict-free trajectories for an en-route conflict situation. The genetic algorith pilots the B-splines through their control points. Consequently, trajecetories are directly monitored by the GA which handles both deconfliction and optimization

Domaines: Optimisation et contrôle [math.OC]; Base de données [cs.DB]; Système multi-agents [cs.MA]; Intelligence artificielle [cs.AI]; Calcul parallèle, distribué et partagé [cs.DC]; Réseau de neurones [cs.NE]; Probabilités [math.PR]; Statistiques [math.ST]

Laurent Lapasset, Clément Peyronne, Benoit Hermeline. Conflict-free trajectory optimization using B-Splines and Genetic Algorithm. Innovative Research Workshop and Exhibition, Dec 2010, Brétigny sur Orge, France. ⟨hal-01513103⟩