All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Traditional Gaussian Process Surrogates in the BBOB Framework

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F16%3A00462909" target="_blank" >RIV/67985807:_____/16:00462909 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11320/16:10334234

  • Result on the web

    <a href="http://ceur-ws.org/Vol-1649/163.pdf" target="_blank" >http://ceur-ws.org/Vol-1649/163.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Traditional Gaussian Process Surrogates in the BBOB Framework

  • Original language description

    Objective function evaluation in continuous optimization tasks is often the operation that dominates the algorithm’s cost. In particular in the case of black-box functions, i.e. when no analytical description is available, and the function is evaluated empirically. In such a situation, utilizing information from a surrogate model of the objective function is a well known technique to accelerate the search. In this paper, we review two traditional approaches to surrogate modelling based on Gaussian processes that we have newly reimplemented in MATLAB: Metamodel Assisted Evolution Strategy using probability of improvement and Gaussian Process Optimization Procedure. In the research reported in this paper, both approaches have been for the first time evaluated on Black-Box Optimization Benchmarking framework (BBOB), a comprehensive benchmark for continuous optimizers.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/NV15-33250A" target="_blank" >NV15-33250A: Prediction of therapeutic response in patients with depressive disorder by means of new methods of EEG analysis.</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • 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 ITAT 2016: Information Technologies - Applications and Theory

  • ISBN

    978-1-5370-1674-0

  • ISSN

    1613-0073

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    163-171

  • Publisher name

    Technical University & CreateSpace Independent Publishing Platform

  • Place of publication

    Aachen & Charleston

  • Event location

    Tatranské Matliare

  • Event date

    Sep 15, 2016

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article