RBF-based surrogate model for evolutionary optimization

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10132609" target="_blank" >RIV/00216208:11320/12:10132609 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/12:00384877
Result on the web
<a href="http://itat.ics.upjs.sk/proceedings/ITAT2012%20-%20CEUR%20Proceedings%20-%20tlacova%20verzia.pdf#page=10" target="_blank" >http://itat.ics.upjs.sk/proceedings/ITAT2012%20-%20CEUR%20Proceedings%20-%20tlacova%20verzia.pdf#page=10</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
RBF-based surrogate model for evolutionary optimization
Original language description
Many today's engineering tasks use approximation of their expensive objective function. Surrogate models, which are frequently used for this purpose, can save significant costs by substituting some of the experimental evaluations or simulations needed toachieve an optimal or near-optimal solution. This paper presents a surrogate model based on RBF networks. In contrast to the most of the surrogate models in the current literature, it can be directly used for problems with mixed continuous and discretevariables - clustering and generalized linear models are employed for dealing with discrete covariates. The model has been tested on a benchmark optimization problem and its approximation properties are presented on a real-world application data.
Czech name
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Czech description
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Project
<a href="/en/project/GA201%2F08%2F0802" target="_blank" >GA201/08/0802: Applications of Methods of Knowledge Engineering in Data Mining</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Information Technologies - Applications and Theory, Conference on Theory and Practice of Information Technologies, Proceedings
ISBN
978-80-971144-0-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
3-8
Publisher name
Slovenská spoločnosť pre umelú inteligenciu
Place of publication
Košice, Slovakia
Event location
Ždiar, Slovakia
Event date
Sep 17, 2012
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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