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K-PPE: A Variant Phasmatodea Population Evolution Algorithm for Global Optimization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10252012" target="_blank" >RIV/61989100:27240/22:10252012 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-981-19-1057-9_17" target="_blank" >https://link.springer.com/chapter/10.1007/978-981-19-1057-9_17</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-981-19-1057-9_17" target="_blank" >10.1007/978-981-19-1057-9_17</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    K-PPE: A Variant Phasmatodea Population Evolution Algorithm for Global Optimization

  • Original language description

    Phasmatodea population evolution (PPE) algorithm is a new meta-heuristic, which has presented great performance in engineering optimization problems. A novel version, called K-PPE, is proposed to advance PPE. K-PPE improves the method of generating K optimal solutions and adopts dynamic value of K to promote convergence rate and local exploration. CEC2013 verifies that the performance of K-PPE is better than PPE, particle swarm optimization (PSO) and gray wolf optimizer (GWO). In the end, it is successfully used in multilevel image segmentation.

  • 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

    2022

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    ADVANCES IN INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING (IIH-MSP 2021 &amp; FITAT 2021), VOL 1

  • ISBN

    978-981-19105-7-9

  • ISSN

    2190-3018

  • e-ISSN

    2190-3026

  • Number of pages

    10

  • Pages from-to

    171-180

  • Publisher name

    SPRINGER INTERNATIONAL PUBLISHING AG

  • Place of publication

    CHAM

  • Event location

    Shu Te Univ

  • Event date

    Oct 29, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000882974900017