A scheduler for the National Aures Observatory

The main project for National Aures Observatory (NAO) is the construction of a Meta-Telescope consisting of several robotic and ultra-rapid telescopes. This telescope 'farm' will face hundreds of observation requests that have to be scheduled. The goal of this work is to compute the best schedule for all observations, over all night and using all available telescopes. The scheduler must also take into account all the interruptions that may randomly occur during the observation process, especially those relative to Gravitational Waves and Gamma-Ray Bursts alerts, which are the main goal of the Aures Observatory. To solve this multi-objectives optimization problem, we proposed a scheduler of a predictive class. A genetic algorithm approach was used to compute the solution of the scheduling problem based on NSGA-II and using Pareto Optimality. (paper)