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  Approximation-guided Evolutionary Multi-objective Optimization

Bringmann, K., Friedrich, T., Neumann, F., & Wagner, M. (2011). Approximation-guided Evolutionary Multi-objective Optimization. In T. Walsh (Ed.), Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (pp. 1198-1203). Menlo Park, CA: AAAI Press. doi:10.5591/978-1-57735-516-8/IJCAI11-204.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-11EE-C Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-0023-FBE1-7
Genre: Konferenzbeitrag

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 Urheber:
Bringmann, Karl1, 2, Autor           
Friedrich, Tobias1, Autor           
Neumann, Frank1, Autor           
Wagner, Markus1, Autor           
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              
2International Max Planck Research School, MPI for Informatics, Max Planck Society, ou_1116551              

Inhalt

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Schlagwörter: -
 Zusammenfassung: Multi-objective optimization problems arise frequently in applications but can often only be solved approximately by heuristic approaches. Evolutionary algorithms have been widely used to tackle multi-objective problems. These algorithms use different measures to ensure diversity in the objective space but are not guided by a formal notion of approximation. We present a new framework of an evolutionary algorithm for multi-objective optimization that allows to work with a formal notion of approximation. Our experimental results show that our approach outperforms state-of-the-art evolutionary algorithms in terms of the quality of the approximation that is obtained in particular for problems with many objectives.

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Sprache(n): eng - English
 Datum: 20112011
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: eDoc: 618722
DOI: 10.5591/978-1-57735-516-8/IJCAI11-204
URI: http://ijcai.org/papers11/Papers/IJCAI11-204.pdf
Anderer: Local-ID: C1256428004B93B8-99E628BF57FF45BBC1257984004F0CF0-BringmannFNW2011
 Art des Abschluß: -

Veranstaltung

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Titel: Twenty-Second International Joint Conference on Artificial Intelligence
Veranstaltungsort: Barcelona, Spain
Start-/Enddatum: 2011-07-16 - 2011-07-22

Entscheidung

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Titel: Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence
  Kurztitel : IJCAI 2011
Genre der Quelle: Konferenzband
 Urheber:
Walsh, Toby1, Herausgeber           
Affiliations:
1 Programming Logics, MPI for Informatics, Max Planck Society, ou_40045            
Ort, Verlag, Ausgabe: Menlo Park, CA : AAAI Press
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 1198 - 1203 Identifikator: ISBN: 978-1-57735-516-8