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On the use of preferential weights in interactive reference point based methods. (English) Zbl 1176.90549

Barichard, Vincent (ed.) et al., Multiobjective programming and goal programming. Theoretical results and practical applications. Selected papers based on the presentations at the international conference on multiobjective programming and goal programming (MOP/GP 2006), Tours, France, June 12–14, 2006. Berlin: Springer (ISBN 978-3-540-85645-0/pbk; 978-3-540-85646-7/ebook). Lecture Notes in Economics and Mathematical Systems 618, 211-220 (2009).
Summary: 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.
For the entire collection see [Zbl 1157.90001].

MSC:

90C29 Multi-objective and goal programming
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