Bonnard, Bernard, Olivier Cots, and Boris Edgar Wembe Moafo. “A Zermelo Navigation Problem with a Vortex Singularity.”https://doi.org/10.1051/cocv/2020058__ESAIM: Control, Optimisation and Calculus of Variations 27 (2020).https://doi.org/10.1051/cocv/2020058 .

Bossek, Jakob, Pascal Kerschke, and Heike Trautmann. “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms.”https://doi.org/10.1016/j.asoc.2019.105901__Applied Soft Computing 88 (2020): 105901.https://doi.org/10.1016/j.asoc.2019.105901 .

Bossek, Jakob, Frank Neumann, Pan Peng, and Dirk Sudholt. “More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization.”https://doi.org/10.1145/3377930.3390174__In Proceedings of the Genetic and Evolutionary Computation Conference, 1277–1285. GECCO ’20. New York, NY, USA: Association for Computing Machinery, 2020.https://doi.org/10.1145/3377930.3390174 .

Bossek, Jakob, Carola Doerr, Pascal Kerschke, Aneta Neumann, and Frank Neumann. “Evolving Sampling Strategies for One-Shot Optimization Tasks.”https://doi.org/10.1007/978-3-030-58112-1_8__In Parallel Problem Solving from Nature (PPSN XVI), 111–124. Berlin, Heidelberg: Springer-Verlag, 2020.https://doi.org/10.1007/978-3-030-58112-1_8 .

Bossek, Jakob, Katrin Casel, Pascal Kerschke, and Frank Neumann. “The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics.”https://doi.org/10.1145/3377930.3390243__In Proceedings of the Genetic and Evolutionary Computation Conference, 1286–1294. GECCO ’20. New York, NY, USA: Association for Computing Machinery, 2020.https://doi.org/10.1145/3377930.3390243 .

Bossek, Jakob, Christian Grimme, and Heike Trautmann. “Dynamic Bi-Objective Routing of Multiple Vehicles.”https://doi.org/10.1145/3377930.3390146__In Proceedings of the Genetic and Evolutionary Computation Conference, 166–174. GECCO ’20. New York, NY, USA: Association for Computing Machinery, 2020.https://doi.org/10.1145/3377930.3390146 .

Bossek, Jakob, Carola Doerr, and Pascal Kerschke. “Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB.”https://doi.org/10.1145/3377930.3390155__In Proceedings of the Genetic and Evolutionary Computation Conference, 778–786. GECCO ’20. New York, NY, USA: Association for Computing Machinery, 2020.https://doi.org/10.1145/3377930.3390155 .

Bossek, Jakob, Pascal Kerschke, and Heike Trautmann. “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms.”https://doi.org/10.1016/j.asoc.2019.105901__Applied Soft Computing 88, no. C (2020).https://doi.org/10.1016/j.asoc.2019.105901 .

Hippert, Benjamin, André Uhde, and Sascha Tobias Wengerek. “Portfolio Benefits of Adding Corporate Credit Default Swap Indices: Evidence from North America and Europe.”https://doi.org/10.1007/s11147-018-9148-8__Review of Derivatives Research  22, no. 2 (2019): 203–59.https://doi.org/10.1007/s11147-018-9148-8 .

Bossek, Jakob, Christian Grimme, Stephan Meisel, Günter Rudolph, and Heike Trautmann. “Bi-Objective Orienteering: Towards a Dynamic Multi-Objective Evolutionary Algorithm.”https://doi.org/10.1007/978-3-030-12598-1_41__In Evolutionary Multi-Criterion Optimization (EMO), edited by Kalyanmoy Deb, Erik Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, and Patrick Reed, 516–528. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2019.https://doi.org/10.1007/978-3-030-12598-1_41 .

Bossek, Jakob, Pascal Kerschke, Aneta Neumann, Markus Wagner, Frank Neumann, and Heike Trautmann. “Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators.”https://doi.org/10.1145/3299904.3340307__In Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 58–71. FOGA ’19. New York, NY, USA: Association for Computing Machinery, 2019.https://doi.org/10.1145/3299904.3340307 .

Bossek, Jakob, Frank Neumann, Pan Peng, and Dirk Sudholt. “Runtime Analysis of Randomized Search Heuristics for Dynamic Graph Coloring.”https://doi.org/10.1145/3321707.3321792__In Proceedings of the Genetic and Evolutionary Computation Conference, 1443–1451. GECCO ’19. New York, NY, USA: Association for Computing Machinery, 2019.https://doi.org/10.1145/3321707.3321792 .

Bossek, Jakob, Christian Grimme, and Frank Neumann. “On the Benefits of Biased Edge-Exchange Mutation for the Multi-Criteria Spanning Tree Problem.”https://doi.org/10.1145/3321707.3321818__In Proceedings of the Genetic and Evolutionary Computation Conference, 516–523. GECCO ’19. New York, NY, USA: Association for Computing Machinery, 2019.https://doi.org/10.1145/3321707.3321818 .

Rauchecker, Gerhard, and Guido Schryen. “Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief.” In Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management, 2018.

Unger, Andreas, Matthias Hunstig, Tobias Meyer, Michael Brökelmann, and Walter Sextro. “Intelligent Production of Wire Bonds Using Multi-Objective Optimization – Insights, Opportunities and Challenges.”https://doi.org/10.4071/2380-4505-2018.1.000572__In In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018, Vol. Vol. 2018, No. 1, pp. 000572-000577., 2018.https://doi.org/10.4071/2380-4505-2018.1.000572 .

Meyer, Tobias. Optimization-Based Reliability Control of Mechatronic Systems. Shaker, 2018.

Bossek, Jakob, Christian Grimme, Stephan Meisel, Günter Rudolph, and Heike Trautmann. “Local Search Effects in Bi-Objective Orienteering.”https://doi.org/10.1145/3205455.3205548__In Proceedings of the Genetic and Evolutionary Computation Conference, 585–592. GECCO ’18. New York, NY, USA: Association for Computing Machinery, 2018.https://doi.org/10.1145/3205455.3205548 .

Bossek, Jakob. “Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package Ecr.”https://doi.org/10.1145/3205651.3208312__In Proceedings of the Genetic and Evolutionary Computation Conference Companion, 1350–1356. GECCO ’18. New York, NY, USA: Association for Computing Machinery, 2018.https://doi.org/10.1145/3205651.3208312 .

Kerschke, Pascal, Jakob Bossek, and Heike Trautmann. “Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers.”https://doi.org/10.1145/3205651.3208233__In Proceedings of the Genetic and Evolutionary Computation Conference Companion, 1737–1744. GECCO’18. New York, NY, USA: Association for Computing Machinery, 2018.https://doi.org/10.1145/3205651.3208233 .

Mahnken, Rolf. “‘A Variational Formulation for Fuzzy Analysis in Continuum Mechanics.’” Mathematics and Mechanics of Complex Systems 5, no. 3–4 (2017).