A Surrogate Multiobjective Evolutionary Strategy with Local Search and Pre-Selection

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10130607" target="_blank" >RIV/00216208:11320/12:10130607 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/12:00380958
Result on the web
<a href="http://dx.doi.org/10.1145/2330784.2330895" target="_blank" >http://dx.doi.org/10.1145/2330784.2330895</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2330784.2330895" target="_blank" >10.1145/2330784.2330895</a>

Result language
angličtina
Original language name
A Surrogate Multiobjective Evolutionary Strategy with Local Search and Pre-Selection
Original language description
In this paper we present an evolutionary strategy for multi-objective optimization. This evolution strategy is based on a surrogate memetic operator and a surrogate preselection model which provides several individuals in each generation. Thus, the optimization may be easily parallelized. The pro-posed algorithm is compared to some of existing evolution-ary algorithms from the literature.
Czech name
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Czech description
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Project
<a href="/en/project/OC10047" target="_blank" >OC10047: Analysis of Intelligent Computational Distributed Systems</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
GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion
ISBN
978-1-4503-1178-6
ISSN
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e-ISSN
—
Number of pages
2
Pages from-to
633-634
Publisher name
ACM
Place of publication
New York, USA
Event location
Philadelphia, USA
Event date
Jul 7, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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