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Improving many-objective optimizers with aggregate meta-models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F11%3A00375280" target="_blank" >RIV/67985807:_____/11:00375280 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/HIS.2011.6122165" target="_blank" >http://dx.doi.org/10.1109/HIS.2011.6122165</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/HIS.2011.6122165" target="_blank" >10.1109/HIS.2011.6122165</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Improving many-objective optimizers with aggregate meta-models

  • Original language description

    In the field of multi-objective optimization there have been attempts to reduce the number of objective function evaluations by the use of surrogate models. However, in many-objective optimization, this work still has to be done to make the optimizers more practically usable. In this paper we show, that aggregate meta-models can be used even for the many-objective optimization and that they can also improve the performance of the many-objective optimizer. Moreover, meta-models are discussed from anotherpoint of view and compared to scalarization techniques in many-objective optimization. Two algorithms using our models are compared to IBEA on a set of selected benchmark functions with 5, 10, and 15 objectives.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • 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 2011 11th International Conference on Hybrid Intelligent Systems (HIS)

  • ISBN

    978-1-4577-2151-9

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    555-560

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Malacca

  • Event date

    Dec 5, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article