Publication detail

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

MAREK, M. KADLEC, P.

Original Title

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

Type

journal article in Web of Science

Language

English

Original Abstract

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.

Keywords

Optimization, surrogate optimization, tolerance-based surrogate method, resources saving

Authors

MAREK, M.; KADLEC, P.

Released

1. 4. 2019

Publisher

Radioengineering

Location

Brno

ISBN

1805-9600

Periodical

Radioengineering

Year of study

2019

Number

1

State

Czech Republic

Pages from

9

Pages to

18

Pages count

10

URL

BibTex

@article{BUT156289,
  author="Martin {Marek} and Petr {Kadlec}",
  title="Using a Tolerance-based Surrogate Method for Computer Resources Saving in Optimization",
  journal="Radioengineering",
  year="2019",
  volume="2019",
  number="1",
  pages="9--18",
  doi="10.13164/re.2019.0009",
  issn="1805-9600",
  url="https://www.radioeng.cz/fulltexts/2019/19_01_0009_0018.pdf"
}