On the Use of Preferential Weights in Interactive Reference Point Based Methods

Kaisa Miettinen (), Petri Eskelinen (), Mariano Luque () and Francisco Ruiz ()
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Kaisa Miettinen: FI-40014 University of Jyväskylä
Petri Eskelinen: Helsinki School of Economics
Mariano Luque: University of Málaga
Francisco Ruiz: University of Málaga

A chapter in Multiobjective Programming and Goal Programming, 2009, pp 211-220 from Springer

Abstract: Abstract We introduce a new way of utilizing preference information specified by the decision maker in interactive reference point based methods. A reference point consists of aspiration levels for each objective function. We take the desires of the decision maker into account more closely when projecting the reference point to become nondominated. In this way we can support the decision maker in finding the most satisfactory solutions faster. In practice, we adjust the weights in the achievement scalarizing function that projects the reference point. We demonstrate our idea with an example and we summarize results of computational tests that support the efficiency of the idea proposed.

Keywords: Interactive methods; Multiple objectives; Multiobjective optimization; Multiobjective programming; Preferences; Reference point methods (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-540-85646-7_20

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DOI: 10.1007/978-3-540-85646-7_20

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