Using a Tolerance-based Surrogate Method for Computer Resources Saving in Optimization

Autor: M. Marek, P. Kadlec
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Radioengineering, Vol 28, Iss 1, Pp 9-18 (2019)
Druh dokumentu: article
ISSN: 1210-2512
Popis: 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.
Databáze: Directory of Open Access Journals