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Overview of surrogate-model versions of covariance matrix adaptation evolution strategy

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F17%3A43918928" target="_blank" >RIV/00023752:_____/17:43918928 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985807:_____/17:00477762

  • Result on the web

    <a href="https://dl.acm.org/citation.cfm?doid=3067695.3082539" target="_blank" >https://dl.acm.org/citation.cfm?doid=3067695.3082539</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3067695.3082539" target="_blank" >10.1145/3067695.3082539</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Overview of surrogate-model versions of covariance matrix adaptation evolution strategy

  • Original language description

    Evaluation of real-world black-box objective functions is in many optimization problems very time-consuming or expensive. Therefore, surrogate regression models, used instead of the expensive objective function and in that way decreasing the number of its evaluations, have received a lot of attention. Here, we briefly survey surrogate-Assisted versions of the state-of-The-Art algorithm for continuous black-box optimization-the CMA-ES (Covariance Matrix Adaptation Evolution Strategy). We compare five of them, together with the original CMA-ES, on the noiseless benchmarks of the Comparing-Continuous-Optimisers platform in the expensive scenario, where only a small budget of evaluations is available.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/LO1611" target="_blank" >LO1611: Sustainability for The National Institute of Mental Health</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • 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 2017. Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2017; Berlin; Germany; 15 July 2017 through 19 July 2017

  • ISBN

    978-1-4503-4939-0

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    1622-1629

  • Publisher name

    ACM

  • Place of publication

    New York

  • Event location

    Berlin, Germany

  • Event date

    Jul 15, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article