Evolutionary Multiobjective Optimization: A Short Survey of the State-of-the-art.

Kód výsledku v 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>
Výsledek na webu
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Jazyk výsledku
angličtina
Název v původním jazyce
Evolutionary Multiobjective Optimization: A Short Survey of the State-of-the-art.
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Evolutionary Multiobjective Optimization: A Short Survey of the State-of-the-art.
Popis výsledku anglicky
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.

Rok uplatnění
2010
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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