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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU131698" target="_blank" >RIV/00216305:26220/19:PU131698 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.radioeng.cz/fulltexts/2019/19_01_0009_0018.pdf" target="_blank" >https://www.radioeng.cz/fulltexts/2019/19_01_0009_0018.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.13164/re.2019.0009" target="_blank" >10.13164/re.2019.0009</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/LO1401" target="_blank" >LO1401: Interdisciplinární výzkum bezdrátových technologií</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Radioengineering

ISSN

1805-9600

e-ISSN

—

Svazek periodika

2019

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

10

Strana od-do

9-18

Kód UT WoS článku

000464619900002

EID výsledku v databázi Scopus

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