Reference points and approximation algorithms in multicriteria discrete optimization

Christina Büsing, Kai-Simon Goetzmann, Jannik Matuschke and Sebastian Stiller

European Journal of Operational Research, 2017, vol. 260, issue 3, 829-840

Abstract: Mathematical research on multicriteria optimization problems predominantly revolves around the set of Pareto optimal solutions. In practice, on the other hand, methods that output a single solution are more widespread. Reference point methods are a successful example of this approach and are widely used in real-world multicriteria optimization. A reference point solution is the solution closest to a given reference point in the objective space.

Keywords: Multicriteria optimization; Approximation algorithms; Reference point methods; Compromise programming; Combinatorial optimization (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:260:y:2017:i:3:p:829-840

DOI: 10.1016/j.ejor.2016.05.027

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