The effect of different local search algorithms on the performance of multi-objective optimizers
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10284225" target="_blank" >RIV/00216208:11320/14:10284225 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/14:00435894
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6900545" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6900545</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEC.2014.6900545" target="_blank" >10.1109/CEC.2014.6900545</a>
Alternative languages
Result language
angličtina
Original language name
The effect of different local search algorithms on the performance of multi-objective optimizers
Original language description
Several contemporary multi-objective surrogate based algorithms use some kind of local search operator. The search technique used in this operator can largely affect the performance of the multi-objective optimizer as a whole, however, little attention is often paid to the selection of this technique. In this paper, we compare three different local search techniques and evaluate their effect on the performance of two different surrogate based multi-objective optimizers. The algorithms are evaluated using the well known ZDT and WFG benchmark suites and recommendations are made based on the results.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LD13002" target="_blank" >LD13002: Modeling of complex systems for softcomputing methods</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2014
ISBN
978-1-4799-6626-4
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
2172-2179
Publisher name
IEEE
Place of publication
Beijing
Event location
Peking, Čína
Event date
Jul 6, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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