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Generator sets for the Minkowski sum problem

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  • Lyngesen, Mark
  • Gadegaard, Sune Lauth
  • Nielsen, Lars Relund

Abstract

This paper develops a new theoretical framework for generator sets in the context of Minkowski Sum Problems (MSPs) arising in multi-objective optimization. In MSPs, the nondominated set of the global problem equals the nondominated set of the Minkowski sum of several local nondominated sets. We introduce the concept of generator sets: subsets of local nondominated vectors that are sufficient to construct the global nondominated set. We present novel theoretical results that characterize conditions for vectors to belong to a generator set or to be redundant. Moreover, we develop algorithms for finding generator sets and identifying redundant local vectors. Finally, we conduct extensive numerical experiments to test the impact of varying characteristics of the instances on the resulting global nondominated set and the number of redundant vectors.

Suggested Citation

  • Lyngesen, Mark & Gadegaard, Sune Lauth & Nielsen, Lars Relund, 2026. "Generator sets for the Minkowski sum problem," European Journal of Operational Research, Elsevier, vol. 328(3), pages 912-924.
  • Handle: RePEc:eee:ejores:v:328:y:2026:i:3:p:912-924
    DOI: 10.1016/j.ejor.2025.07.005
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    References listed on IDEAS

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    1. Michael Stiglmayr & José Figueira & Kathrin Klamroth, 2014. "On the multicriteria allocation problem," Annals of Operations Research, Springer, vol. 222(1), pages 535-549, November.
    2. Dietz, Tobias & Klamroth, Kathrin & Kraus, Konstantin & Ruzika, Stefan & Schäfer, Luca E. & Schulze, Britta & Stiglmayr, Michael & Wiecek, Margaret M., 2020. "Introducing multiobjective complex systems," European Journal of Operational Research, Elsevier, vol. 280(2), pages 581-596.
    3. Melissa Gardenghi & Trinidad Gómez & Francisca Miguel & Margaret M. Wiecek, 2011. "Algebra of Efficient Sets for Multiobjective Complex Systems," Journal of Optimization Theory and Applications, Springer, vol. 149(2), pages 385-410, May.
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