Publications

Lennart Schäpermeier, Pascal Kerschke, Christian Grimme, und 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, und Iryna Yevseyeva (Hrsg.), Evolutionary Multi-Criterion Optimization, 291--304, Springer, Germany, 2023. [PUMA: Benchmarking Multi-objective_optimization Multimodal_optimization Numeric_optimization Problem_generator n/a_OA_procedure]

Raphael Patrick Prager, Konstantin Dietrich, Lennart Schneider, Lennart Schäpermeier, Bernd Bischl, Pascal Kerschke, Heike Trautmann, und Olaf Mersmann. Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. FOGA 2023, 129--139, Association for Computing Machinery, United States, 30.08.2023. [PUMA: 2024_OA_procedure Benchmarking Black-box_continuous_optimization Exploratory_landscape_analysis Instance_generator Neural_networks] URL

Konstantin Dietrich, und 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: BBOB, SBOX-COST, benchmarking continuous nevergrad, optimization,] URL