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Self-organizing migrating algorithm for the 100-digit challenge

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10244227" target="_blank" >RIV/61989100:27240/19:10244227 - isvavai.cz</a>

  • Result on the web

    <a href="https://dl.acm.org/doi/abs/10.1145/3319619.3326750?casa_token=tnBxoLCpV7gAAAAA:FNidEewrL-YmIzW3hh84S57uYGMHvkw_YekjiqqgTkpFbP7VOmbHL6z4q0JlP6jFCSn5N9ApQFSrFw" target="_blank" >https://dl.acm.org/doi/abs/10.1145/3319619.3326750?casa_token=tnBxoLCpV7gAAAAA:FNidEewrL-YmIzW3hh84S57uYGMHvkw_YekjiqqgTkpFbP7VOmbHL6z4q0JlP6jFCSn5N9ApQFSrFw</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3319619.3326750" target="_blank" >10.1145/3319619.3326750</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Self-organizing migrating algorithm for the 100-digit challenge

  • Original language description

    In this paper, we apply the SOMA T3A algorithm to solve 10 hard problems of the 100-Digit Challenge of the GECCO 2019 Competition. With effective improvements in choosing Migrants and Leader in the organization process, as well as the Step and PRT adaptive parameters in the migration process, the algorithm has achieved promising results. The total score that the algorithm achieved is 92.04 points. (C) 2019 Copyright held by the owner/author(s).

  • 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

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion

  • ISBN

    978-1-4503-6748-6

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    3-4

  • Publisher name

    Association for Computing Machinery

  • Place of publication

    New York

  • Event location

    Praha

  • Event date

    Jul 13, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article