Using a Tolerance-based Surrogate Method for Computer Resources Saving in Optimization
Loading...
Date
2019-04
Authors
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Altmetrics
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.
Description
Citation
Radioengineering. 2019 vol. 28, č. 1, s. 9-18. ISSN 1210-2512
https://www.radioeng.cz/fulltexts/2019/19_01_0009_0018.pdf
https://www.radioeng.cz/fulltexts/2019/19_01_0009_0018.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en