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Initial design strategies and their effects on sequential model-based optimization, , and . Proceedings of the 2020 Genetic and Evolutionary Computation Conference, New York, NY, USA, ACM, (June 2020)Deep learning as a competitive feature-free approach for automated algorithm selection on the traveling salesperson problem, , , , and . Parallel Problem Solving from Nature -- PPSN XVI, Springer International Publishing, Cham, (2020)BBE: Basin-based evaluation of multimodal multi-objective optimization problems, , , , , and . Lecture Notes in Computer Science, Springer International Publishing, Cham, (2022)Anytime behavior of inexact TSP solvers and perspectives for automated algorithm selection, , and . 2020 IEEE Congress on Evolutionary Computation (CEC), IEEE, (July 2020)A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms, , and . Appl. Soft Comput., 88 (105901): 105901 (March 2020)Evolving diverse TSP instances by means of novel and creative mutation operators, , , , , and . Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, New York, NY, USA, ACM, (August 2019)Evolving sampling strategies for one-shot optimization tasks, , , , and . Parallel Problem Solving from Nature -- PPSN XVI, Springer International Publishing, Cham, (2020)The node weight dependent traveling salesperson problem, , , and . Proceedings of the 2020 Genetic and Evolutionary Computation Conference, New York, NY, USA, ACM, (June 2020)On the potential of normalized TSP features for automated algorithm selection, , , , , and . Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, New York, NY, USA, ACM, (September 2021)OpenML: An R package to connect to the machine learning platform OpenML, , , , , , , , and . Comput. Stat., 34 (3): 977--991 (September 2019)