Differential Evolution with Competitive Control-Parameter Settings

The differential evolution (DE) has become one of the most popular algorithms for the continuous global optimization problems in last decade years. But it is known that the efficiency of the search for the global minimum is very sensitive to the setting of its control parameters. That is why the self-adaptive DE was proposed and included into this library.