Inner dynamics of particle swarm optimization interpreted by complex network analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F22%3A63556579" target="_blank" >RIV/70883521:28140/22:63556579 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/document/9905435" target="_blank" >https://ieeexplore.ieee.org/document/9905435</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/COMPENG50184.2022.9905435" target="_blank" >10.1109/COMPENG50184.2022.9905435</a>

Result language

angličtina

Original language name

Inner dynamics of particle swarm optimization interpreted by complex network analysis

Original language description

In this paper, we present the relation between the inner dynamics of the particle swarm optimization algorithm and the properties of a complex network recording the information transfer in the population. Using population diversity as an example, we argue that the complex network analysis is a viable tool for assessing the state of the population and the eventual necessity of an adaptive intervention. © 2022 IEEE.

Czech name

—

Czech description

—

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)

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

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

Article name in the collection

2022 IEEE Workshop on Complexity in Engineering, COMPENG 2022

ISBN

978-1-72817-124-1

ISSN

—

e-ISSN

—

Number of pages

5

Pages from-to

—

Publisher name

Institute of Electrical and Electronics Engineers Inc.

Place of publication

Piscataway, New Jersey

Event location

Florencie

Event date

Jul 18, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—