Optimal scheduling by competitive activation: application to the satellite antennae scheduling problem

This study provides two results: (1) a theorem that enables a shared resource scheduling problem to be transformed into an unshared resource problem; (2) a competitive activation-based neural network that enables the unshared resource scheduling problem to be solved. These results are used to find an optimal scheduling of antennas of low-level satellites. Initial experimental results are given, as well as results for a sequential method derived from the neural net method.<>