Genetic algorithms are mathematical search methods which specifically vary the manipulable variables of a process so that a process is always operated at the optimum operating state. Where a good process model, for example a trained neural network, has been set up, the genetic algorithm can conduct its search on this model.
Genetic algorithms are based on the mathematics of evolution, but have been rarely used on a technical level to date. This is due to certain technical problems, which to date only atlan-tec has been able to solve with its products NeuroModel® GenOpt™ and NeuroModel® GenOpt™ Online.
NeuroModel® GenOpt™ Online is so reliable that it is even used as a “pilot” in coal power plants.