Introduction to Multiobjective Optimization: Interactive Approaches

  • Kaisa Miettinen
  • Francisco Ruiz
  • Andrzej P. Wierzbicki
Conference paper

DOI: 10.1007/978-3-540-88908-3_2

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5252)
Cite this paper as:
Miettinen K., Ruiz F., Wierzbicki A.P. (2008) Introduction to Multiobjective Optimization: Interactive Approaches. In: Branke J., Deb K., Miettinen K., Słowiński R. (eds) Multiobjective Optimization. Lecture Notes in Computer Science, vol 5252. Springer, Berlin, Heidelberg

Abstract

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Kaisa Miettinen
    • 1
  • Francisco Ruiz
    • 2
  • Andrzej P. Wierzbicki
    • 3
    • 4
  1. 1.Department of Mathematical Information TechnologyUniversity of JyväskyläFinland
  2. 2.Department of Applied Economics (Mathematics)University of MálagaMálagaSpain
  3. 3.21st Century COE Program: Technology Creation Based on Knowledge Science, JAIST (Japan Advanced Institute of Science and Technology)Nomi, IshikawaJapan
  4. 4.National Institute of TelecommunicationsPoland

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