Synergy between convergence and divergence: review of concepts and methods

Research output: Chapter in Book/Report/Published conference proceedingConference contributionpeer-review

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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