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Synthetic objective function to improve the performance of de - Initial study

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63517048" target="_blank" >RIV/70883521:28140/17:63517048 - isvavai.cz</a>

  • Result on the web

    <a href="http://aip.scitation.org/doi/abs/10.1063/1.4992255" target="_blank" >http://aip.scitation.org/doi/abs/10.1063/1.4992255</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1063/1.4992255" target="_blank" >10.1063/1.4992255</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Synthetic objective function to improve the performance of de - Initial study

  • Original language description

    In this initial study, the idea of synthesizing objective function during the evolution process is tested for the improvement of optimization performance of Differential Evolution (DE) algorithm. Since many of the real world problems require computationally expensive simulations there is a demand for specialized optimization algorithms to solve them in as few objective function evaluations as possible. This paper proposes a new approach which combines DE with Analytical Programming (AP), a symbolic regression tool used for the synthesis of objective function in order to adapt the control parameter settings during evolution.

  • 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • 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

    AIP Conference Proceedings

  • ISBN

    978-073541538-6

  • ISSN

    0094-243X

  • e-ISSN

    neuvedeno

  • Number of pages

    4

  • Pages from-to

    "nestrankovano"

  • Publisher name

    American Institute of Physics Inc.

  • Place of publication

    Maryland

  • Event location

    Rhodos

  • Event date

    Sep 19, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000410159800105