About: On Convergence of Multi-objective Particle Swarm Optimizers

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: On Convergence of Multi-objective Particle Swarm Optimizers Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Several variants of the Particle Swarm Optimization (PSO) algorithm have been proposed in recent past to tackle the multi-objective optimization problems based on the concept of Pareto optimality. Although a plethora of significant research articles have so far been published on analysis of the stability and convergence properties of PSO as a single-objective optimizer, till date, to the best of our knowledge, no such analysis exists for the multi-objective PSO (MOPSO) algorithms. This paper presents a first, simple analysis of the general Pareto-based MOPSO and finds conditions on its most important control parameters (the inertia factor and acceleration coefficients) that control the convergence behavior of the algorithm to the Pareto front in the objective function space. Limited simulation supports have also been provided to substantiate the theoretical derivations. Several variants of the Particle Swarm Optimization (PSO) algorithm have been proposed in recent past to tackle the multi-objective optimization problems based on the concept of Pareto optimality. Although a plethora of significant research articles have so far been published on analysis of the stability and convergence properties of PSO as a single-objective optimizer, till date, to the best of our knowledge, no such analysis exists for the multi-objective PSO (MOPSO) algorithms. This paper presents a first, simple analysis of the general Pareto-based MOPSO and finds conditions on its most important control parameters (the inertia factor and acceleration coefficients) that control the convergence behavior of the algorithm to the Pareto front in the objective function space. Limited simulation supports have also been provided to substantiate the theoretical derivations. (en)
Title	On Convergence of Multi-objective Particle Swarm Optimizers On Convergence of Multi-objective Particle Swarm Optimizers (en)
skos:prefLabel	On Convergence of Multi-objective Particle Swarm Optimizers On Convergence of Multi-objective Particle Swarm Optimizers (en)
skos:notation	RIV/61989100:27240/10:86076850!RIV11-MSM-27240___
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM6198910027)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Snášel, Václav Abraham Padath, Ajith
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta elektrotechniky a informatiky
http://linked.open...dnocenehoVysledku	276679
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/10:86076850
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Optimizers; Swarm; Particle; Multi-objective; Convergence (en)
http://linked.open.../riv/klicoveSlovo	Convergence Particle Multi-objective Optimizers Swarm
http://linked.open...ontrolniKodProRIV	[697456CF232B]
http://linked.open...v/mistoKonaniAkce	Spain
http://linked.open...i/riv/mistoVydani	NEW YORK
http://linked.open...i/riv/nazevZdroje	IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Abraham Padath, Ajith Das, Swagatam Snášel, Václav Chakraborty, Prithwish Roy, Gourab Ghosh
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000287375803025
http://linked.open.../riv/zahajeniAkce	2010-07-18 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Výpočetně náročné počítačové simulace a optimalizace
number of pages	9 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
https://schema.org/isbn	978-1-4244-8126-2
http://localhost/t...ganizacniJednotka	27240
is http://linked.open...avai/riv/vysledek of	On Convergence of Multi-objective Particle Swarm Optimizers On Convergence of Multi-objective Particle Swarm Optimizers On Convergence of Multi-objective Particle Swarm Optimizers

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 117 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software