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Incorporating User Preferences in MOEA/D through the Coevolution of Weights

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10316496" target="_blank" >RIV/00216208:11320/15:10316496 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985807:_____/15:00446916

  • Result on the web

    <a href="http://dx.doi.org/10.1145/2739480.2754801" target="_blank" >http://dx.doi.org/10.1145/2739480.2754801</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/2739480.2754801" target="_blank" >10.1145/2739480.2754801</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Incorporating User Preferences in MOEA/D through the Coevolution of Weights

  • Original language description

    The resulting set of solutions obtained by MOEA/D depends on the weights used in the decomposition. In this work, we use this feature to incorporate user preferences into the search. We use co-evolutionary approach to change the weights adaptively duringthe run of the algorithm. After the user specifies their preferences by assigning binary preference values to the individuals, the co-evolutionary step improves the distribution of weights by creating new (offspring) weights and selecting those that better match the user preferences. The algorithm is tested on a set of benchmark functions with a set of different user preferences.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA15-19877S" target="_blank" >GA15-19877S: Automated Knowledge and Plan Modeling for Autonomous Robots</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    GECCO'15: PROCEEDINGS OF THE 2015 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE

  • ISBN

    978-1-4503-3472-3

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    727-734

  • Publisher name

    ASSOC COMPUTING MACHINERY

  • Place of publication

    Neuveden

  • Event location

    Madrid, Španělsko

  • Event date

    Jul 11, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000358795700092