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A LP Relaxation based Matheuristic for Multi-objective Integer Programming

  • Duleabom An (Vortragende*r)

Aktivität: Vortrag oder PräsentationVortrag nach Bewerbung und AuswahlScience-to-science

Beschreibung

Motivated by the success of matheuristics in the single-objective domain, we propose a very simple linear programming-based matheuristic for three-objective binary integer programming. To tackle the problem, we obtain lower bound sets by means of the vector linear programming solver Bensolve. Then, simple heuristic approaches, such as rounding and path relinking, are applied to this lower bound set to obtain high-quality approximations of the optimal set of trade-off solutions. The proposed algorithm is compared to a recently suggested algorithm which is, to the best of our knowledge, the only existing matheuristic method for three objective integer programming. Computational experiments show that our method produces a better approximation of the true Pareto front using significantly less time than the benchmark method on standard benchmark instances for the three-objective knapsack problem.
Zeitraum05 Feb. 2021
EreignistitelInternational Conference on Operations Research and Enterprise Systems
VeranstaltungstypKonferenz
OrtÖsterreichAuf Karte anzeigen

Wissenschaftszweige

  • 502 Wirtschaftswissenschaften
  • 502028 Produktionswirtschaft
  • 502017 Logistik
  • 502050 Wirtschaftsinformatik
  • 101016 Optimierung
  • 502037 Standortplanung
  • 101015 Operations Research

JKU-Schwerpunkte

  • Digital Transformation
  • Sustainable Development: Responsible Technologies and Management