are used, particularly with respect to genetic algorithms (GAs). Second, it documents SpAbCoM and provides an overview of …

networks were trained with back-propagation and with genetic algorithms. With regards input data, three set of inputs, namely …

intelligent framework which is based on stochastic simulations and regression, artificial neural network and genetic algorithms is …

-objective ones, a comprehensive methodology based on the non-dominated sorting genetic algorithms II (NSGA II) to achieve parameter …

are used, particularly with respect to genetic algorithms (GAs). Second, it documents SpAbCoM and provides an overview of …

reference to verify functionality of the other two ones. The second method is optimization using genetic algorithms, and the … results indicate that genetic algorithms are demanding to calculate though not dependant on the selected objective function … function it has to be changed. When the scheduling by genetic algorithms is solvable in a sufficiently short period of time, it …