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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

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

  • e-ISSN

  • 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