Synergy between convergence and divergence: review of concepts and methods

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    Abstract

    Modern Industry 4.0 technologies face a challenge in dealing with billions of connected devices, petabyte-scale of generated data, and exponentially growing internet traffic. Artificial Intelligence and Evolutionary algorithms can resolve variety of large optimisation problems. Many methods employed in search for solutions often fall in stagnation or in unacceptable results, which reminds for classical dilemma exploration versus exploitations closely related with convergence and diversity of the explored solutions. This article reviews convergence and divergence centred algorithms and discuses synergy between convergence and divergence in adaptive heuristics.
    Original languageEnglish
    Title of host publicationLarge-Scale Scientific Computing
    Subtitle of host publicationLSSC 2021
    EditorsI. Lirkov, S. Margenov
    PublisherSpringer
    Pages250-256
    Number of pages7
    Volume13127
    ISBN (Electronic)978-3-030-97549-4
    ISBN (Print)978-3-030-97548-7
    DOIs
    Publication statusPublished - 18 Mar 2022
    Event13th International Conference on "Large Scale Scientific Computations" - Sozopol, Bulgaria
    Duration: 7 Jun 202111 Jun 2021
    Conference number: 13
    http://parallel.bas.bg/Conferences/SciCom21/

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference13th International Conference on "Large Scale Scientific Computations"
    Abbreviated titleLSSC 2021
    Country/TerritoryBulgaria
    CitySozopol
    Period7/06/2111/06/21
    Internet address

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