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Success-History Based Adaptive Differential Evolution Algorithm with Multi-Chaotic Framework for Parent Selection Performance on CEC2014 Benchmark Set

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F16%3A43875353" target="_blank" >RIV/70883521:28140/16:43875353 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/document/7744404/" target="_blank" >http://ieeexplore.ieee.org/document/7744404/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CEC.2016.7744404" target="_blank" >10.1109/CEC.2016.7744404</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Success-History Based Adaptive Differential Evolution Algorithm with Multi-Chaotic Framework for Parent Selection Performance on CEC2014 Benchmark Set

  • Original language description

    This paper presents a novel multi-chaotic framework, which is used for the parent selection process in Success-History based Adaptive Differential Evolution (SHADE) algorithm. Created variant of the Differential Evolution (DE) algorithm was named MC-SHADE and its performance is tested on the CEC2014 benchmark set in order to participate in the CEC2016 competition on bound constrained single objective numerical optimization - single parameter-operator set based case.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

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)<br>S - Specificky vyzkum na vysokych skolach

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

    2016 IEEE Congress on Evolutionary Computation, CEC 2016

  • ISBN

    978-1-5090-0622-9

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    4797-4803

  • Publisher name

    Institute of Electrical and Electronics Engineers Inc.

  • Place of publication

    Piscataway, New Jersey

  • Event location

    Vancouver

  • Event date

    Jul 24, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000390749104132