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Hypervolume-based local search in multi-objective evolutionary optimization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10284958" target="_blank" >RIV/00216208:11320/14:10284958 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985807:_____/14:00430976

  • Result on the web

    <a href="http://dx.doi.org/10.1145/2576768.2598332" target="_blank" >http://dx.doi.org/10.1145/2576768.2598332</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/2576768.2598332" target="_blank" >10.1145/2576768.2598332</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Hypervolume-based local search in multi-objective evolutionary optimization

  • Original language description

    This paper describes a surrogate based multi-objective evolutionary algorithm with hyper-volume contribution-based local search. The algorithm switches between an NSGA-II phase and a local search phase. In the local search phase, a model for each of theobjectives is trained and CMAES is used to optimize the hyper-volume contribution of each individual with respect to its two neighbors on the non-dominated front. The performance of the algorithm is evaluated using the well known ZDT and WFG benchmark suites.

  • 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

    GECCO 2014 - Proceedings of the 2014 Genetic and Evolutionary Computation Conference

  • ISBN

    978-1-4503-2662-9

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    637-644

  • Publisher name

    Association for Computing Machinery

  • Place of publication

    Vancouver, Kanada

  • Event location

    Vancouver, Kanada

  • Event date

    Jul 12, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article