Publications

Raphael Patrick Prager, Konstantin Dietrich, Lennart Schneider, Lennart Schäpermeier, Bernd Bischl, Pascal Kerschke, Heike Trautmann, and Olaf Mersmann. Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. FOGA 2023, 129--139, Association for Computing Machinery, United States, Aug 30, 2023. [PUMA: topic_engineering 2024_OA_procedure Benchmarking Black-box_continuous_optimization Exploratory_landscape_analysis Instance_generator Neural_networks] URL

Lennart Schäpermeier, Pascal Kerschke, Christian Grimme, and Heike Trautmann. Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets. In Michael Emmerich, André Deutz, Hao Wang, Anna V. Kononova, Boris Naujoks, Ke Li, Kaisa Miettinen, and Iryna Yevseyeva (Eds.), Evolutionary Multi-Criterion Optimization, 291--304, Springer, Germany, 2023. [PUMA: topic_engineering Benchmarking Multi-objective_optimization Multimodal_optimization Numeric_optimization Problem_generator n/a_OA_procedure]

Konstantin Dietrich, and Pascal Kerschke. Evaluation of Algorithms from the Nevergrad Toolbox on the Strictly Box-Constrained SBOX-COST Benchmarking Suite. Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 2326–2329, Association for Computing Machinery, New York, NY, USA, 2023. [PUMA: topic_engineering BBOB, SBOX-COST, benchmarking continuous nevergrad, optimization,] URL