摘要：The purpose of this paper is to propose reference-neighborhood scalarizing problems for finding (weak) Pareto optimal solutions of multicriteria optimization problems. The decision maker (DM) provides information about his/her preferences for choice of new Pareto optimal solution with respect to the criteria values at the current solution. The current solution and the DM’s local preferences set a reference-neighborhood in the Pareto optimal set of the multicriteria problem solution, and the scalarizing problems search for a new (weak) Pareto optimal solution in this area.
