This section contains examples in which pyGDM is used on specific physical problems. For more technical examples, see the tutorials.

Evolutionary optimization


The examples on the evolutionary optimization module (EO) are not deterministic. If the results differ from run to run, this is completely normal and actually the consequence of the main drawback of evolutionary optimization: Convergence to the global optimum can never be guaranteed!. Nevertheless, usually the optimizations converge very closely to the optimum, which can be tested by repeated runs of the same optimization.