J. Bossek, A. Neumann, and F. Neumann, “On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem,”10.1145/3583131.3590384__in Proceedings of the Genetic and Evolutionary Computation Conference, 2023, pp. 248–256, doi:10.1145/3583131.3590384 .
LibreCat: /record/48869
DOI: 10.1145/3583131.3590384

J. Heins, J. Bossek, J. Pohl, M. Seiler, H. Trautmann, and P. Kerschke, “A study on the effects of normalized TSP features for automated algorithm selection,”https://doi.org/10.1016/j.tcs.2022.10.019__Theoretical Computer Science, vol. 940, pp. 123–145, 2023, doi:https://doi.org/10.1016/j.tcs.2022.10.019 .
LibreCat: /record/46310
DOI: https://doi.org/10.1016/j.tcs.2022.10.019

J. Heins, J. Bossek, J. Pohl, M. Seiler, H. Trautmann, and P. Kerschke, “On the Potential of Normalized TSP Features for Automated Algorithm Selection,” in Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, New York, NY, USA: Association for Computing Machinery, 2021, pp. 1–15.
LibreCat: /record/48881

A. Nikfarjam, J. Bossek, A. Neumann, and F. Neumann, “Entropy-Based Evolutionary Diversity Optimisation for the Traveling Salesperson Problem,”10.1145/3449639.3459384__in Proceedings of the Genetic and Evolutionary Computation Conference, 2021, pp. 600–608, doi:10.1145/3449639.3459384 .
LibreCat: /record/48893
DOI: 10.1145/3449639.3459384

A. Nikfarjam, J. Bossek, A. Neumann, and F. Neumann, “Computing Diverse Sets of High Quality TSP Tours by EAX-based Evolutionary Diversity Optimisation,” in Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, New York, NY, USA: Association for Computing Machinery, 2021, pp. 1–11.
LibreCat: /record/48892

J. Bossek, P. Kerschke, and H. 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, vol. 88, p. 105901, 2020, doi:https://doi.org/10.1016/j.asoc.2019.105901 .
LibreCat: /record/46334
DOI: https://doi.org/10.1016/j.asoc.2019.105901

M. Seiler, J. Pohl, J. Bossek, P. Kerschke, and H. Trautmann, “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem,”10.1007/978-3-030-58112-1_4__in Parallel Problem Solving from Nature (PPSN XVI), 2020, pp. 48–64, doi:10.1007/978-3-030-58112-1_4 .
LibreCat: /record/48897
DOI: 10.1007/978-3-030-58112-1_4

J. Bossek, P. Kerschke, and H. Trautmann, “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms,”10.1016/j.asoc.2019.105901__Applied Soft Computing, vol. 88, no. C, 2020, doi:10.1016/j.asoc.2019.105901 .
LibreCat: /record/48848
DOI: 10.1016/j.asoc.2019.105901

J. Bossek, P. Kerschke, A. Neumann, M. Wagner, F. Neumann, and H. Trautmann, “Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators,”10.1145/3299904.3340307__in Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2019, pp. 58–71, doi:10.1145/3299904.3340307 .
LibreCat: /record/48842
DOI: 10.1145/3299904.3340307

S. Nallaperuma, M. Wagner, F. Neumann, B. Bischl, O. Mersmann, and H. Trautmann, “A Feature-Based Comparison of Local Search and the Christofides Algorithm for the Travelling Salesperson Problem,”10.1145/2460239.2460253__in Proceedings of the Twelfth Workshop on Foundations of Genetic Algorithms XII, 2013, pp. 147–160, doi:10.1145/2460239.2460253 .
LibreCat: /record/46388
DOI: 10.1145/2460239.2460253