Digitala Vetenskapliga Arkivet

Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Constrained optimization based on a multiobjective evolutionary algorithm
Linköping University.
Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Material- och solidmekanik.ORCID-id: 0000-0001-6016-6342
2003 (engelsk)Inngår i: The 2003 congress on evolutionary computation: CEC 2003, Piscataway, NJ: IEEE Communications Society, 2003, s. 1560-1567Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

A criticism of Evolutionary Algorithms (EAs) might be the lack of efficient and robust generic might be the lack of officient and robust generic methods to handle constraints. The most widespread approach for constrained search problems is to use penalty methods. EAs have received increased interest during the last decade due to the ease of handling multiple objectives., A constrained Optimization problem or an unconstrained multiobjective problem may in principle be two different ways to pose the same underlying I problem. In this paper an alternative approach for the constrained optimization problem is presented. The method is a variant of a multiobjective real coded Genetic Algorithm (CA) inspired by the penalty approach. It is evaluated on six different constrained single objective problems found in the literature. The results show that the proposed method performs well in terms of efficiency, and that it is rohust for a majority of the test problems.

sted, utgiver, år, opplag, sider
Piscataway, NJ: IEEE Communications Society, 2003. s. 1560-1567
HSV kategori
Forskningsprogram
Hållfasthetslära; Datorstödd maskinkonstruktion
Identifikatorer
URN: urn:nbn:se:ltu:diva-31701DOI: 10.1109/CEC.2003.1299858Scopus ID: 2-s2.0-84901398538Lokal ID: 5f559010-0238-11dd-9241-000ea68e967bISBN: 0-7803-7804-0 (tryckt)OAI: oai:DiVA.org:ltu-31701DiVA, id: diva2:1004935
Konferanse
Congress on evolutionary computation : 08/12/2003 - 12/12/2003
Merknad
Godkänd; 2003; 20080404 (kirhon)Tilgjengelig fra: 2016-09-30 Laget: 2016-09-30 Sist oppdatert: 2023-09-06bibliografisk kontrollert

Open Access i DiVA

fulltekst(518 kB)416 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 518 kBChecksum SHA-512
daf41841a1593f27540bba15c788fac9c6fcbf8eeeda65034f809bd742ce6c0c12f74d9d4db01a9a8f611fb3267aed69f63df9f8f8f3bf9a09fc1d678d46ac2d
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekstScopus

Søk i DiVA

Av forfatter/redaktør
Angantyr, AndersAidanpää, Jan-Olov
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 416 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
isbn
urn-nbn

Altmetric

doi
isbn
urn-nbn
Totalt: 188 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf