Boosted Surrogate Models in Evolutionary Optimization

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F09%3A00330006" target="_blank" >RIV/67985807:_____/09:00330006 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Boosted Surrogate Models in Evolutionary Optimization

Original language description

The paper deals with surrogate modelling, a modern approach to the optimization of empirical objective functions. The approach leads to a substantial decrease of time and costs of evaluation of the objective function, a property that is particularly attractive in evolutionary optimization. In the paper, an extension of surrogate modelling with regression boosting is proposed.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

<a href="/en/project/GA201%2F08%2F1744" target="_blank" >GA201/08/1744: Complexity of perceptron and kernel networks</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2009

Confidentiality

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

Article name in the collection

Information Technologies - Applications and Theory

ISBN

978-80-970179-2-7

ISSN

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e-ISSN

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Number of pages

8

Pages from-to

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Publisher name

Pont

Place of publication

Seňa

Event location

Kráľova studňa

Event date

Sep 25, 2009

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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