Using a Tolerance-based Surrogate Method for Computer Resources Saving in Optimization
Martin Marek, Petr Kadlec · Radioengineering · 2019
This paper presents a very simple surrogate optimization method -a Tolerance-based Surrogate Method.A surrogate optimization in general is essential to more and more frequently used optimization in the development process of new technologies.Fitness functions of such systems are often costly, therefore keeping a number of evaluations of the fitness functions at minimum is of a great importance in order to save computer and time resources, i.e. the overall cost of design.Unlike other complex surrogate optimization methods, the tolerance-based surrogate method does not require excessive computational resources, is easy to implement, and is flexible for all types of optimization algorithms.Behaviour of the tolerance-based surrogate method is demonstrated on several modified benchmark problems.Afterwards, our method is verified on a real-world time-demanding optimization task.