Scheduling small satellite mission using Hopfield neural networks

Scheduling small satellite's mission is to determinate its mission objectives and make decision to control its operation according to the mission objectives. So it does factually belong to planning and operation problem. To the 0-1 integral linear and quadratic programming (0-1 ILQP), a new approach is presented in the paper to solve the problem by Hopfield neural networks. First, the objective function and the constraints are integrated as an integer in the form of energy function with penalty function approach. Then, the global minimal point of the energy function, which also is the optimal solution of the 0-1 ILQP, is obtained by using Hopfield neural networks. Finally, an application to optimizing the mission schedule of satellite is presented as an example that is solved successfully with the approach.