An Evolved Autonomous Controller for Satellite Task Scheduling

Abstract. A scheduling algorithm for satellites imaging tasks in a dynamic and uncertain environment. The environment is dynamic in the sense that imaging tasks will be added or removed from the given scenario and in addition, the parameters of individual tasks can change. The technique proposed develops an expert scheduling behaviour as opposed to a robust static schedule by using an evolutionary ALife methodology.1

• Type: Conference
• Year: 2004
• Where: GECCO
• Authors: Darren M. Chitty
• Keywords: Expert Scheduling Behaviour, GECCO 2004, Satellites Imaging Tasks, Scheduling Algorithm