On the number of criteria needed to decide Pareto optimality

On the number of criteria needed to decide Pareto optimality

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Article ID: iaor20032528
Country: Germany
Volume: 55
Issue: 3
Start Page Number: 329
End Page Number: 345
Publication Date: Jan 2002
Journal: Mathematical Methods of Operations Research (Heidelberg)
Authors: ,
Keywords: pareto-optimality
Abstract:

In this paper we address the question of how many objective functions are needed to decide whether a given point is a Pareto optimal solution for a multicriteria optimization problem. We extend earlier results showing that the set of weakly Pareto optimal points is the union of Pareto optimal sets of subproblems and show their limitations. We prove that for strictly quasi-convex problems in two variables Pareto optimality can be decided by consideration of at most three objectives at a time. Our results are based on a geometric characterization of Pareto, strict Pareto, and weak Pareto solutions and Helly's Theorem. We also show that a generalization to quasi-convex objectives is not possible and state a weaker result for this case. Furthermore, we show that an analogous result for deciding strict Pareto optimality is impossible, even in the convex case.

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