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Introduction to Multiobjective Optimization: Noninteractive Approaches
University of Jyväskylä.
2008 (English)In: Multiobjective Optimization: Interactive And Evolutionary Approaches / [ed] Branke, J; Deb, K; Miettinen, K; Slowinski, R, Springer Berlin/Heidelberg, 2008, 1-26 p.Conference paper, Published paper (Refereed)
Abstract [en]

We give an introduction to nonlinear multiobjective optimization by covering some basic concepts as well as outlines of some methods. Because Pareto optimal solutions cannot be ordered completely, we need extra preference information coming from a decision maker to be able to select the most preferred solution for a problem involving multiple conflicting objectives. Multiobjective optimization methods are often classified according to the role of a decision maker in the solution process. In this chapter, we concentrate on noninteractive methods where the decision maker either is not involved or specifies preference information before or after the actual solution process. In other words, the decision maker is not assumed to devote too much time in the solution process.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2008. 1-26 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 5252
National Category
Computer and Information Science Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-83124DOI: 10.1007/978-3-540-88908-3_1ISI: 000262095700001ISBN: 978-3-540-88907-6 (print)OAI: oai:DiVA.org:kth-83124DiVA: diva2:498732
Conference
Dagstuhl Seminar on Practical Approaches to Multi-Objective Optimization Location: Schloss Dagstuhl, GERMANY Date: DEC 10-15, 2006
Note

QC 20120307

Available from: 2012-02-12 Created: 2012-02-12 Last updated: 2013-11-26Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
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