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Comparing Selected PSO Modifications on CEC 15 Benchmark Set

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F16%3A43875455" target="_blank" >RIV/70883521:28140/16:43875455 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/document/7850279/" target="_blank" >http://ieeexplore.ieee.org/document/7850279/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SSCI.2016.7850279" target="_blank" >10.1109/SSCI.2016.7850279</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparing Selected PSO Modifications on CEC 15 Benchmark Set

  • Original language description

    In this paper we choose to compare three popular modifications of Particle Swarm Optimization (PSO) using the recent CEC'15 benchmark set. Three different approaches for PSO modification are compared: the heterogeneous swarm, diversity-guided swarm and orthogonal learning based approach. The goal is to provide up-to date comparison of the performance of these methods on a state-of-art benchmark set and highlight the differences in performance on different types of fitness functions. The experiments were carried out according to CEC benchmark rules and statistically evaluated.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • 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

  • Article name in the collection

    2016 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings

  • ISBN

    978-1-5090-4240-1

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    "nestrankovano"

  • Publisher name

    Institute of Electrical and Electronics Engineers Inc.

  • Place of publication

    Piscataway, New Jersey

  • Event location

    Athens

  • Event date

    Dec 6, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article