6533b82bfe1ef96bd128df67
RESEARCH PRODUCT
On the Use of Preferential Weights in Interactive Reference Point Based Methods
Petri EskelinenKaisa MiettinenMariano LuqueFrancisco Ruizsubject
business.industryComputer sciencemedia_common.quotation_subjectMultiobjective programmingInformation and Computer ScienceArtificial intelligencebusinessFunction (engineering)Decision makerMulti-objective optimizationPreferencemedia_commondescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2009-01-05 |