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Inspired in SOMA: Perturbation Vector Embedded into the Chaotic PSO Algorithm Driven by Lozi Chaotic Map

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F16%3A43875457" target="_blank" >RIV/70883521:28140/16:43875457 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007%2F978-3-319-28161-2_13" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-28161-2_13</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-28161-2_13" target="_blank" >10.1007/978-3-319-28161-2_13</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Inspired in SOMA: Perturbation Vector Embedded into the Chaotic PSO Algorithm Driven by Lozi Chaotic Map

  • Original language description

    n this chapter a new approach for Particle Swarm Optimization (PSO) algorithm driven by chaotic pseudorandom number generator based on chaotic Lozi map is presented. This research represents the continuation of the satisfactory results obtained by means of chaos embedded (driven) swarm based algorithms, which utilize the chaotic dynamics in the place of pseudorandom number generators. The perturbation vector, which is introduced here, was inspired by the swarm based Self-organizing Migrating Algorithm (SOMA). It was embedded into the PSO algorithm to help overcome the issue of premature convergence.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Self-Organizing Migrating Algorithm: Methodology and Implementation

  • ISBN

    978-3-319-28159-9

  • Number of pages of the result

    13

  • Pages from-to

    277-289

  • Number of pages of the book

    289

  • Publisher name

    Springer International Publishing Switzerland

  • Place of publication

    Cham

  • UT code for WoS chapter