Abstract
An interactive procedure for multiple-objective analysis of linear and non-linear programs is presented. At the decision phase of the procedure, a sample of points, composed of the current point and a number of alternative proposals, is presented to the decision maker (DM). The sample is constnicted to ensure a relatively easy evaluation of the sample by the DM. To this end we use an outranking relation as a local preference model in a neighbourhood of the current point. The outranking relation is used to define a sub-region of the non-dominated set the sample presented to the DM comes from. The DM has two possibilities, or degrees of freedom, to move from one sub-region to another which better fits his/her preferences. The first possibility consists in specifying a new reference point which is then projected onto the non-dominated set in order to find a better non-dominated point. The second possibility consists in shifting the current point to a selected point from the sub-region. In both cases, a new sub-region is defined around the updated current point. This technique can be compared to projecting a focused beam of light from a spotlight in the reference point onto the non-dominated set; the highlighted sub-region changes when either the reference point or the point of interest in the non-dominated set are changed.
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Jaszkiewicz, A., Słowiński, R. (1995). The Light Beam Search — Outranking Based Interactive Procedure for Multiple-Objective Mathematical Programming. In: Pardalos, P.M., Siskos, Y., Zopounidis, C. (eds) Advances in Multicriteria Analysis. Nonconvex Optimization and Its Applications, vol 5. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2383-0_9
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DOI: https://doi.org/10.1007/978-1-4757-2383-0_9
Publisher Name: Springer, Boston, MA
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