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Introduction to Multiobjective Optimization: Interactive Approaches
University of Jyväskykä.
University of Malaga.
2008 (English)In: Multiobjective Optimization: Interactive and Evolutionary Approaches / [ed] Branke, J., Deb, K., Miettinen, K., Slowinski, R., Springer Berlin/Heidelberg, 2008, 27-57 p.Chapter in book (Other academic)
Abstract [en]

We give an overview of interactive methods developed for solving nonlinear multiobjective optimization problems. In interactive methods, a decision maker plays an important part and the idea is to support her/him in the search for the most preferred solution. In interactive methods, steps of an iterative solution algorithm are repeated and the decision maker progressively provides preference information so that the most preferred solution can be found. We identify three types of specifying preference information in interactive methods and give some examples of methods representing each type. The types are methods based on trade-off information, reference points and classification of objective functions.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2008. 27-57 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 ; 5252
National Category
Computer and Information Science
URN: urn:nbn:se:kth:diva-83137DOI: 1007/978-3-540-88908-3_2OAI: diva2:498739

QC 20120216

Available from: 2012-02-12 Created: 2012-02-12 Last updated: 2014-04-02Bibliographically approved

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Miettinen, Kaisa
Computer and Information Science

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