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Jakob Bossek
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mlrMBO: A modular framework for model-based optimization of expensive black-box functions
B Bischl, J Richter, J Bossek, D Horn, J Thomas, M Lang
arXiv preprint arXiv:1703.03373, 2017
1832017
Benchmarking in optimization: Best practice and open issues
T Bartz-Beielstein, C Doerr, D Berg, J Bossek, S Chandrasekaran, ...
arXiv preprint arXiv:2007.03488, 2020
1152020
A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem
O Mersmann, B Bischl, H Trautmann, M Wagner, J Bossek, F Neumann
Annals of Mathematics and Artificial Intelligence 69, 151-182, 2013
982013
Leveraging TSP solver complementarity through machine learning
P Kerschke, L Kotthoff, J Bossek, HH Hoos, H Trautmann
Evolutionary computation 26 (4), 597-620, 2018
862018
OpenML: An R package to connect to the machine learning platform OpenML
G Casalicchio, J Bossek, M Lang, D Kirchhoff, P Kerschke, B Hofner, ...
Computational Statistics 34, 977-991, 2019
672019
smoof: Single-and Multi-Objective Optimization Test Functions.
J Bossek
R J. 9 (1), 103, 2017
592017
Evolving diverse TSP instances by means of novel and creative mutation operators
J Bossek, P Kerschke, A Neumann, M Wagner, F Neumann, H Trautmann
Proceedings of the 15th ACM/SIGEVO conference on foundations of genetic …, 2019
562019
Local search and the traveling salesman problem: A feature-based characterization of problem hardness
O Mersmann, B Bischl, J Bossek, H Trautmann, M Wagner, F Neumann
Learning and Intelligent Optimization: 6th International Conference, LION 6 …, 2012
512012
Initial design strategies and their effects on sequential model-based optimization: an exploratory case study based on BBOB
J Bossek, C Doerr, P Kerschke
Proceedings of the 2020 genetic and evolutionary computation conference, 778-786, 2020
342020
ecr 2.0: a modular framework for evolutionary computation in R
J Bossek
Proceedings of the genetic and evolutionary computation conference companion …, 2017
302017
Einführung in die Optimierung
C Grimme, J Bossek
Springer Fachmedien Wiesbaden, 2018
292018
BBmisc: Miscellaneous helper functions for B. Bischl
B Bischl, M Lang, J Bossek, D Horn, J Richter, D Surmann
R package version 1.11, 2017
262017
Deep learning as a competitive feature-free approach for automated algorithm selection on the traveling salesperson problem
M Seiler, J Pohl, J Bossek, P Kerschke, H Trautmann
International Conference on Parallel Problem Solving from Nature, 48-64, 2020
252020
BBmisc: Miscellaneous helper functions for B
B Bischl, M Lang, J Bossek, D Horn, J Richter, D Surmann
Bischl. R package version 1, 2017, 2017
252017
Evolving diverse sets of tours for the travelling salesperson problem
AV Do, J Bossek, A Neumann, F Neumann
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 681-689, 2020
232020
Diversifying greedy sampling and evolutionary diversity optimisation for constrained monotone submodular functions
A Neumann, J Bossek, F Neumann
Proceedings of the Genetic and Evolutionary Computation Conference, 261-269, 2021
212021
Evolutionary diversity optimization and the minimum spanning tree problem
J Bossek, F Neumann
Proceedings of the Genetic and Evolutionary Computation Conference, 198-206, 2021
192021
Entropy-based evolutionary diversity optimisation for the traveling salesperson problem
A Nikfarjam, J Bossek, A Neumann, F Neumann
Proceedings of the Genetic and Evolutionary Computation Conference, 600-608, 2021
182021
mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions, 2017
B Bischl, J Richter, J Bossek, D Horn, J Thomas, M Lang
URL http://arxiv. org/abs/1703 3373, 3, 2016
182016
A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms
J Bossek, P Kerschke, H Trautmann
Applied Soft Computing 88, 105901, 2020
162020
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