A Surrogate Based Multiobjective Evolution Strategy with Different Models for Local Search and Pre-selection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F12%3A00424059" target="_blank" >RIV/67985807:_____/12:00424059 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICTAI.2012.37" target="_blank" >http://dx.doi.org/10.1109/ICTAI.2012.37</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICTAI.2012.37" target="_blank" >10.1109/ICTAI.2012.37</a>
Alternative languages
Result language
angličtina
Original language name
A Surrogate Based Multiobjective Evolution Strategy with Different Models for Local Search and Pre-selection
Original language description
In this paper we present a multiobjective evolutionary algorithm which uses surrogate models in two different ways -- during a local search and during pre-selection. Two different approaches to surrogate modeling are used, and the algorithm provides multiple individuals in each generation to enable easy parallelization. The algorithm is tested and compared to standard multiobjective evolutionary algorithms and to our previously developed surrogate evolution strategy. We also discuss the importance of the use of two different approaches and show that it improves the convergence speed significantly.
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
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2012
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 24st IEEE International Conference on Tools with Artificial Intelligence
ISBN
978-0-7695-4915-6
ISSN
1082-3409
e-ISSN
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Number of pages
8
Pages from-to
215-222
Publisher name
IEEE Computer Society
Place of publication
Piscataway
Event location
Athens
Event date
Nov 7, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000320861900028