Co-simulation of MATLAB and ANSYS for ultrasonic wire bonding process optimization
R. Schemmel, V. Krieger, T. Hemsel, W. Sextro, Microelectronics Reliability 119 (2021) 114077.
LibreCat: /record/21436
DOI: https://doi.org/10.1016/j.microrel.2021.114077

Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization
C. Grimme, P. Kerschke, P. Aspar, H. Trautmann, M. Preuss, A.H. Deutz, H. Wang, M. Emmerich, Computers &; Operations Research 136 (2021) 105489.
LibreCat: /record/46318
DOI: https://doi.org/10.1016/j.cor.2021.105489

Breeding Diverse Packings for the Knapsack Problem by Means of Diversity-Tailored Evolutionary Algorithms
J. Bossek, A. Neumann, F. Neumann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2021, pp. 556–564.
LibreCat: /record/48853
DOI: 10.1145/3449639.3459364

Evolutionary Diversity Optimization and the Minimum Spanning Tree Problem
J. Bossek, F. Neumann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2021, pp. 198–206.
LibreCat: /record/48860
DOI: 10.1145/3449639.3459363

Time Complexity Analysis of Randomized Search Heuristics for the Dynamic Graph Coloring Problem
J. Bossek, F. Neumann, P. Peng, D. Sudholt, Algorithmica 83 (2021) 3148–3179.
LibreCat: /record/48854
DOI: 10.1007/s00453-021-00838-3

Self-Driving Network and Service Coordination Using Deep Reinforcement Learning
S.B. Schneider, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, R. Khalili, A. Hecker, in: IEEE International Conference on Network and Service Management (CNSM), IEEE, 2020.
LibreCat: /record/19609

Process design for the forming of semi-tubular self-piercing rivets made of high nitrogen steel
C.-M. Kuball, B. Uhe, G. Meschut, M. Merklein, eds., Process Design for the Forming of Semi-Tubular Self-Piercing Rivets Made of High Nitrogen Steel, 2020.
LibreCat: /record/19976
DOI: 10.1016/j.promfg.2020.08.052

The Online Multi-Commodity Facility Location Problem
J. Castenow, B. Feldkord, T. Knollmann, M. Malatyali, F. Meyer auf der Heide, in: Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures, 2020.
LibreCat: /record/17370
DOI: 10.1145/3350755.3400281
arXiv: 2005.08391

Stress state dependent damage modeling of self-pierce riveting process simulation using GISSMO damage model
M. Otroshi, M. Rossel, G. Meschut, Journal of Advanced Joining Processes 1 (2020).
LibreCat: /record/20143
DOI: 10.1016/j.jajp.2020.100015

Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen
C. Caruso, C. Adammek, S. Bonanati, S. Wiescholek, Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion 3 (2020) 18–33.
LibreCat: /record/35298
DOI: 10.4119/hlz-2540

A Zermelo navigation problem with a vortex singularity
B. Bonnard, O. Cots, B.E. Wembe Moafo, ESAIM: Control, Optimisation and Calculus of Variations 27 (2020).
LibreCat: /record/33866
DOI: 10.1051/cocv/2020058

Influence of the process temperature on the forming behaviour and the friction during bulk forming of high nitrogen steel
C.-M. Kuball, R. Jung, B. Uhe, G. Meschut, M. Merklein, eds., Influence of the Process Temperature on the Forming Behaviour and the Friction during Bulk Forming of High Nitrogen Steel, 2020.
LibreCat: /record/19974
DOI: 10.1016/j.jajp.2020.100023

Improvement of a rivet geometry for the self-piercing riveting of high-strength steel and multi-material joints
B. Uhe, C.-M. Kuball, M. Merklein, G. Meschut, Production Engineering 14 (2020) 417–423.
LibreCat: /record/19973
DOI: 10.1007/s11740-020-00973-w

A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms
J. Bossek, P. Kerschke, H. Trautmann, Applied Soft Computing 88 (2020) 105901.
LibreCat: /record/46334
DOI: https://doi.org/10.1016/j.asoc.2019.105901

More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization
J. Bossek, F. Neumann, P. Peng, D. Sudholt, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2020, pp. 1277–1285.
LibreCat: /record/48847
DOI: 10.1145/3377930.3390174

Evolving Sampling Strategies for One-Shot Optimization Tasks
J. Bossek, C. Doerr, P. Kerschke, A. Neumann, F. Neumann, in: Parallel Problem Solving from Nature (PPSN XVI), Springer-Verlag, Berlin, Heidelberg, 2020, pp. 111–124.
LibreCat: /record/48849
DOI: 10.1007/978-3-030-58112-1_8

The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics
J. Bossek, K. Casel, P. Kerschke, F. Neumann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2020, pp. 1286–1294.
LibreCat: /record/48851
DOI: 10.1145/3377930.3390243

Dynamic Bi-Objective Routing of Multiple Vehicles
J. Bossek, C. Grimme, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2020, pp. 166–174.
LibreCat: /record/48845
DOI: 10.1145/3377930.3390146

Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB
J. Bossek, C. Doerr, P. Kerschke, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2020, pp. 778–786.
LibreCat: /record/48850
DOI: 10.1145/3377930.3390155

A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms
J. Bossek, P. Kerschke, H. Trautmann, Applied Soft Computing 88 (2020).
LibreCat: /record/48848
DOI: 10.1016/j.asoc.2019.105901