Aggregate meta-models for evolutionary multiobjective and many-objective optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10173117" target="_blank" >RIV/00216208:11320/13:10173117 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/13:00396912
Result on the web
<a href="http://dx.doi.org/10.1016/j.neucom.2012.06.043" target="_blank" >http://dx.doi.org/10.1016/j.neucom.2012.06.043</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.neucom.2012.06.043" target="_blank" >10.1016/j.neucom.2012.06.043</a>
Alternative languages
Result language
angličtina
Original language name
Aggregate meta-models for evolutionary multiobjective and many-objective optimization
Original language description
Evolutionary algorithms are among the best multiobjective optimizers. However, they need a large number of function evaluations. In this paper a meta-model based approach to the reduction in the needed number of function evaluations is presented. Local aggregate meta-models are used in a memetic operator. The algorithm is first discussed from a theoretical point of view and then it is shown that the meta-models greatly reduce the number of function evaluations. The approach is compared to a similar onewith a single global meta-model as well as to more traditional NSGA-II and epsilon-IBEA. Moreover, it is shown that aggregate meta-models work even for a larger number of objectives and therefore should be considered when designing many-objective evolutionary algorithms.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Neurocomputing
ISSN
0925-2312
e-ISSN
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Volume of the periodical
116
Issue of the periodical within the volume
20 September 2013
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
11
Pages from-to
392-402
UT code for WoS article
000320971900043
EID of the result in the Scopus database
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