Evolutionary Multiobjective Optimization: A Short Survey of the State-of-the-art.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F10%3A10056965" target="_blank" >RIV/00216208:11320/10:10056965 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Evolutionary Multiobjective Optimization: A Short Survey of the State-of-the-art.
Original language description
Many real-life problems have a natural representation in the framework of multiobjective optimization. Evolutionary algorithms are generally considered one of the most successful methods for solving the multiobjective optimization problems. In this paperwe present state-of-the-art multiobjective evolutionary algorithms and briefly discuss their advantages and disadvantages. In the last section we suggest some possibilities for future research in this area.
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
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
WDS 2010 - Proceedings of Contributed Papers
ISBN
978-80-7378-139-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
Matfyzpress
Place of publication
Praha
Event location
Praha
Event date
Jun 1, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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