An Optimization Model for Multisatellite Resources Scheduling

A multiobject optimization model based on forecast data for multisatellite resources scheduling is presented to solve the problems existing in models for satellite tracking, telemetry and command (TT&C) system such as too many parameters and constraints, lack of descriptions for part of the system´s requirements and even blinking the facts. Utilizing the information included in the visible arcs of the forecast data, this optimization model takes the visible arcs instead of the satellites and TT&C equipment as the scheduling object to reduce the number of the parameters and simplify the model and gives a particular description of the system requirements according to the scheduling facts. Finally, applying the ant colony algorithm to an example, the efficiency of the model is tested