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Dancing to the State of the Art? How Candidate Lists Influence LKH for Solving the Traveling Salesperson Problem

Heins, J., Schäpermeier, L., Kerschke, P. & Whitley, D., 7 Sept 2024, Parallel Problem Solving from Nature – PPSN XVIII: 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14–18, 2024, Proceedings, Part I. Affenzeller, M., Winkler, S. M., Kononova, A. V., Bäck, T., Trautmann, H., Tušar, T. & Machado, P. (eds.). p. 100-115 16 p. (Lecture Notes in Computer Science, Vol. 15148).

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Reinvestigating the R2 Indicator: Achieving Pareto Compliance by Integration

Schäpermeier, L. & Kerschke, P., 7 Sept 2024, Parallel Problem Solving from Nature – PPSN XVIII: 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14–18, 2024, Proceedings, Part IV. Affenzeller, M., Winkler, S. M., Kononova, A. V., Bäck, T., Trautmann, H., Tušar, T. & Machado, P. (eds.). p. 202-216 15 p. (Lecture Notes in Computer Science, Vol. 15151).

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Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features

Prager, R. P., Dietrich, K., Schneider, L., Schäpermeier, L., Bischl, B., Kerschke, P. & Trautmann, H. & 1 others, Mersmann, O., 30 Aug 2023, FOGA '23: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. p. 129-139 11 p.

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Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets

Schäpermeier, L., Kerschke, P., Grimme, C. & Trautmann, H., 2023, Evolutionary Multi-Criterion Optimization - 12th International Conference, EMO 2023, Proceedings. Emmerich, M., Deutz, A., Wang, H., Kononova, A. V., Naujoks, B., Li, K., Miettinen, K. & Yevseyeva, I. (eds.). 14 p.

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Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark Problems

Schäpermeier, L., Grimme, C. & Kerschke, P., Dec 2022, In: Congress on Evolutionary Computation (CEC). 26, 6, p. 1306-1320 15 p.

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