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Firefly Algorithm Enhanced by Orthogonal Learning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F18%3A63520390" target="_blank" >RIV/70883521:28140/18:63520390 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-319-91189-2_47" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-91189-2_47</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Firefly Algorithm Enhanced by Orthogonal Learning

  • Original language description

    Orthogonal learning strategy, a proven technique, is combined with hybrid optimization metaheuristic, which is based on Firefly Algorithm and Particle Swarm Optimization. The hybrid algorithm Firefly Particle Swarm Optimization is then compared, together with canonical Firefly Algorithm, with the newly created Orthogonal Learning Firefly Algorithm. Comparisons have been conducted on five selected basic benchmark functions, and the results have been evaluated for statistical significance using Wilcoxon rank-sum test.

  • 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)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Advances in Intelligent Systems and Computing, Volume 764

  • ISBN

    978-331991188-5

  • ISSN

    2194-5357

  • e-ISSN

    neuvedeno

  • Number of pages

    12

  • Pages from-to

    477-488

  • Publisher name

    Springer Verlag

  • Place of publication

    Berlín

  • Event location

    Zlín

  • Event date

    Apr 25, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000460247600047