Abstract: In the control of a power station installation having a number of power station blocks, in which each power station block is controlled by using at least one reference variable, it is intended to permit reliable determination of especially favorable reference variables while also taking the current installation condition into account. To this end, a management system for the power station installation includes a computer unit which determines reference variables for the power station block or for each of the power station blocks through the use of a genetic algorithm, and an optimization module which is connected to the computer unit. The optimization module is connected to a number of neural networks and one neural network is assigned to each power station block.