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Clustered Population Differential Evolution Approach to Quadratic Assignment Problem

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F09%3A63507975" target="_blank" >RIV/70883521:28140/09:63507975 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Clustered Population Differential Evolution Approach to Quadratic Assignment Problem

  • Original language description

    An approach of population dynamics and clus- tering for permutative problems is presented in this paper. Diversity indicators are created from solution ordering and its mapping is shown as an advantage for population control in metaheuristics. Differential Evolution Algorithm is modified using this approach and vetted with the Quadratic Assignment Problem. Extensive experimentation is conducted on bench- mark problems in this area.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2009

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2009 IEEE Congress on Evolutionary Computation

  • ISBN

    978-1-4244-2959-2

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

  • Publisher name

    IEEE Control Systems Society

  • Place of publication

    Trondheim, Norway

  • Event location

    Trondheim, Norway

  • Event date

    May 21, 2009

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article