An Evolutionary Strategy for Surrogate-Based Multiobjective Optimization

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F12%3A00384786" target="_blank" >RIV/67985807:_____/12:00384786 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CEC.2012.6256450" target="_blank" >http://dx.doi.org/10.1109/CEC.2012.6256450</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEC.2012.6256450" target="_blank" >10.1109/CEC.2012.6256450</a>

Result language
angličtina
Original language name
An Evolutionary Strategy for Surrogate-Based Multiobjective Optimization
Original language description
The paper presents a surrogate-based evolutionary strategy for multiobjective optimization. The evolutionary strategy uses distance based aggregate surrogate models in two ways: as a part of memetic search and as way to pre-select individuals in order toavoid evaluation of bad individuals. The model predicts the distance of individuals to the currently known Pareto set. The newly proposed algorithm is compared to other algorithms which use similar surrogate models on a set of benchmark functions.
Czech name
—
Czech description
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Project
<a href="/en/project/GAP202%2F11%2F1368" target="_blank" >GAP202/11/1368: Learning of functional relationships from high-dimensional data</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

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

Article name in the collection
CEC 2012. Proceedings of IEEE Congress on Evolutionary Computation
ISBN
978-1-4673-1509-8
ISSN
—
e-ISSN
—
Number of pages
7
Pages from-to
1-7
Publisher name
IEEE
Place of publication
Piscataway
Event location
Brisbane
Event date
Jun 10, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000312859302012

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