Prager, R. P., &; Trautmann, H. (2023). Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python. Evolutionary Computation, 1–25.https://doi.org/10.1162/evco_a_00341 
LibreCat: /record/46299
DOI: 10.1162/evco_a_00341

Bossek, J., &; Grimme, C. (2023). On Single-Objective Sub-Graph-Based Mutation for Solving the Bi-Objective Minimum Spanning Tree Problem. Evolutionary Computation, 1–35.https://doi.org/10.1162/evco_a_00335 
LibreCat: /record/48859
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Kerschke, P., Kotthoff, L., Bossek, J., Hoos, H. H., &; Trautmann, H. (2018). Leveraging TSP Solver Complementarity through Machine Learning. Evolutionary Computation, 26(4), 597–620.https://doi.org/10.1162/evco_a_00215 
LibreCat: /record/48884
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Trautmann, H., Wagner, T., Naujoks, B., Preuss, M., &; Mehnen, J. (2009). Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms. Evolutionary Computation, 17(4), 493–509.https://doi.org/10.1162/evco.2009.17.4.17403 
LibreCat: /record/46418
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