Automatic Algorithm Selection for Complex Simulation Problems Pdf To pick the most suitable simulation algorithm for any particular job is often hard. This is a result of complicated interactions between design characteristics, performance details, and runtime environment, which might strongly impact the general functionality. An automated choice of simulation algorithms encourages users in establishing simulation experiments without requiring specialist understanding on simulation.
He presents a framework for automatic simulation algorithm choice and clarifies its integration to the open-source simulation and modelling framework James II. Its choice mechanisms can deal with three scenarios: no previous knowledge is available, the effects of difficulty features on simulator functionality is unknown, and also a connection between difficulty features and algorithm performance can be established. The writer concludes with the experimental analysis of the innovative methods.