oru.sePublikationer
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Reference sharing: a new collaboration model for cooperative coevolution
Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway.
Örebro University, Orebro University School of Business, Örebro University, Sweden. Department of Informatics.ORCID iD: 0000-0002-3722-6797
2017 (English)In: Journal of Heuristics, ISSN 1381-1231, E-ISSN 1572-9397, Vol. 23, no 1, 1-30 p.Article in journal (Refereed) Published
Abstract [en]

Cooperative coevolutionary algorithms have been a popular and effective learning approach to solve optimization problems through problem decomposition. However, their performance is highly sensitive to the degree of problem separability. Different collaboration mechanisms usually have to be chosen for particular problems. In the paper, we aim to design a collaboration model that can be successfully applied to a wide range of problems. We present a novel collaboration mechanism that offers this type of potential, along with a new sorting strategy for individuals that are assigned multiple fitness values. Furthermore, we demonstrate and analyze our algorithm through comparison studies with other popular cooperative coevolutionary models on a suite of standard function optimization problems.

Place, publisher, year, edition, pages
Springer, 2017. Vol. 23, no 1, 1-30 p.
Keyword [en]
Cooperative coevolution, Collaboration method, Fitness measurement, Function optimization
National Category
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-56841DOI: 10.1007/s10732-016-9322-9ISI: 000394215200001Scopus ID: 2-s2.0-85010808949OAI: oai:DiVA.org:oru-56841DiVA: diva2:1085139
Available from: 2017-03-28 Created: 2017-03-28 Last updated: 2017-03-28Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Gao, Shang
By organisation
Orebro University School of Business, Örebro University, Sweden
In the same journal
Journal of Heuristics
Computer Science

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 117 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf