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A genetic algorithm with an embedded Ikeda map applied to an order picking problem in a multi-aisle warehouse

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092780" target="_blank" >RIV/61989100:27240/14:86092780 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/CIPLS.2014.7007161" target="_blank" >http://dx.doi.org/10.1109/CIPLS.2014.7007161</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CIPLS.2014.7007161" target="_blank" >10.1109/CIPLS.2014.7007161</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A genetic algorithm with an embedded Ikeda map applied to an order picking problem in a multi-aisle warehouse

  • Original language description

    An Ikeda map embedded genetic algorithm is in- troduced in this research in order to solve the order picking problem. The chaos based algorithm is compared against the canonical pseudo-random number based genetic algorithm over thirty test instances of varying complexity. From the results, the chaos based genetic algorithm is shown to have better overall performance, especially for larger sized problem instances. The statistical paired t-test comparison of the results further reinforces the fact that the chaos based genetic algorithm is significantly better performing.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA13-08195S" target="_blank" >GA13-08195S: Highly Scalable Parallel and Distributed Methods of Data Processing in E-science</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIPLS 2014: 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, Proceedings

  • ISBN

    978-1-4799-4501-6

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    53-58

  • Publisher name

    Institute of Electrical and Electronics Engineers

  • Place of publication

    New York

  • Event location

    Orlando

  • Event date

    Dec 9, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article