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Scheduling the Lot-Streaming Flowshop scheduling problem with setup time with the chaos-induced Enhanced Differential Evolution

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F13%3A43870173" target="_blank" >RIV/70883521:28140/13:43870173 - isvavai.cz</a>

  • Alternative codes found

    RIV/70883521:28120/13:43870173 RIV/61989100:27240/13:86087195

  • Result on the web

    <a href="http://dx.doi.org/10.1109/SDE.2013.6601451" target="_blank" >http://dx.doi.org/10.1109/SDE.2013.6601451</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SDE.2013.6601451" target="_blank" >10.1109/SDE.2013.6601451</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Scheduling the Lot-Streaming Flowshop scheduling problem with setup time with the chaos-induced Enhanced Differential Evolution

  • Original language description

    The dissipative Lozi chaotic map is embedded in the Enhanced Differential Evolution (EDE) algorithm, as a pseudorandom generator. This novel chaotic based algorithm is applied to the constraint based Lot-Streaming Flowshop scheduling problem. Two new andunique data sets generated using the Lozi and Dissipative maps are used to compare the chaos embedded EDE (EDEC) and the generic EDE utilising the venerable Mersenne Twister. In total, 100 data sets were tested by the two algorithms, for the idling andthe non-idling case, with the EDEC algorithm consistently outperforming the generic version.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/TE01020197" target="_blank" >TE01020197: Centre for Applied Cybernetics 3</a><br>

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2013

  • 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 of the 2013 IEEE Symposium on Differential Evolution, SDE 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

  • ISBN

    9781467358736

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    119-126

  • Publisher name

    IEEE

  • Place of publication

    New Jersey, Piscataway

  • Event location

    Singapur

  • Event date

    Apr 16, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article