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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
Year of study
2019
Number
1
State
Czech Republic
Pages from
9
Pages to
18
Pages count
10
URL
https://www.radioeng.cz/fulltexts/2019/19_01_0009_0018.pdf
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" }