(Multi-objective) combinatorial optimization, especially graph problems

Multi-objective linear programming

Fixed-parameter tractability

Integer programming methods

Graph theory, graph algorithms

Computational complexity

Tree-Deletion Pruning in Label-Correcting Algorithms for the Multiobjective Shortest Path Problem
Fritz Bökler and Petra Mutzel,
WALCOM 2017, Springer, Lecture Notes in Computer Science 10167, pp. 190–203, 2017.

The Multiobjective Shortest Path Problem Is NP-Hard, or Is It?
Fritz Bökler,
EMO 2017, Springer, Lecture Notes in Computer Science 10173, pp. 77–87, 2017.

Output-Sensitive Algorithms for Enumerating the Extreme Nondominated Points of Multiobjective Combinatorial Optimization Problems
Fritz Bökler and Petra Mutzel,
Algorithms – ESA 2015, Springer, Lecture Notes in Computer Science 9294, pp. 288–299, 2015.

The Stochastic Steiner Tree Problem on Partial k-Trees
Fritz Bökler, Petra Mutzel and Bernd Zey,
Proceedings of the Workshop on Mathematical and Engineering Methods in Computer Science (MEMICS) 2012, NOVPRESS Brno, October 2012.

Output-sensitive Complexity of Multiobjective Combinatorial Optimization
Fritz Bökler, Matthias Ehrgott, Christopher Morris, Petra Mutzel,
Journal of Multicriteria Decision Analysis 24(1–2), pp. 25–36, 2017.

Konfliktarme Trassenverläufe
Frank Weichert, Daniel Bachmann, Fritz Bökler, Jakob Kopec, Kira Popp, Björn Schwarze,
arcAktuell 4/2015, 2015.

Transparente Identifizierung und Bewertung von Höchstspannungstrassen mittels mehrkriterieller Optimierung
Daniel Bachmann, Fritz Bökler, Mike Dokter, Jakob Kopec, Björn Schwarze and Frank Weichert,
Energiewirtschaftliche Tagesfragen, September 2015.

TR12-02: Algorithmen für das Stochastische Steinerbaumproblem auf Serien-Parallelen Graphen
Fritz Bökler,
Diplomarbeit (Master's thesis), TU Dortmund, April 2012.

Output-sensitive Complexity of Multiobjective Combinatorial Optimization Problems with an Application to the Multiobjective Shortest Path Problem
Fritz Bökler,
PhD Thesis, TU Dortmund, April 2018.

BMWI Projekt: Stromnetzplanung
This interdisciplinary research and development project has the aim to investigate sustainable methods of evaluating and analyzing network topologies and power grid lines. A special focus will be made on multi-objective tools and optimization.

Methoden zur Lösung des Mehrkriteriellen Kürzeste-Wege-Problems im Überblick
Maximilian Trögel, Bachelor’s Thesis, TU Dortmund, 2017.

Optimale Schrittweiten für einen Bikriteriellen Evolutionären Algorithmus mit S-Metrik-Selektion
Rosa Pink, Bachelor’s Thesis, TU Dortmund with Günter Rudolph, 2016.

Vergleich von Algorithmen zum Bestimmen von Minimalen Vektoren
Oliver Zietek, Bachelor’s Thesis, TU Dortmund, 2016.

Enumeration Complexity of Multicriteria Linear Optimization
Christopher Morris, Master’s Thesis, TU Dortmund, 2015.

Algorithms for Multicriteria Network Design Problems on Graphs of Bounded Treewidth
Stephan Schlagkamp, Master’s Thesis, TU Dortmund, 2013.