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Jakob Bossek
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Cited by
Year
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
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
992013
A pareto-beneficial sub-tree mutation for the multi-criteria minimum spanning tree problem
J Bossek, C Grimme
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017
82017
A study on the effects of normalized TSP features for automated algorithm selection
J Heins, J Bossek, J Pohl, M Seiler, H Trautmann, P Kerschke
Theoretical Computer Science 940, 123-145, 2023
102023
An extended mutation-based priority-rule integration concept for multi-objective machine scheduling
J Bossek, C Grimme
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017
32017
Anytime behavior of inexact TSP solvers and perspectives for automated algorithm selection
J Bossek, P Kerschke, H Trautmann
2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020
32020
BBE: basin-based evaluation of multimodal multi-objective optimization problems
J Heins, J Rook, L Schäpermeier, P Kerschke, J Bossek, H Trautmann
International Conference on Parallel Problem Solving from Nature, 192-206, 2022
32022
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
262017
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
272017
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
1182020
Benchmarking in optimization: Best practice and open issues. arXiv 2020
T Bartz-Beielstein, C Doerr, D Berg, J Bossek, S Chandrasekaran, ...
arXiv preprint arXiv:2007.03488, 0
4
Benchmarking: Best Practices and Open Issues
T Bartz-Beielstein, C Doerr, J Bossek, S Chandrasekaran, T Eftimov, ...
2020
Bi-objective orienteering: Towards a dynamic multi-objective evolutionary algorithm
J Bossek, C Grimme, S Meisel, G Rudolph, H Trautmann
Evolutionary Multi-Criterion Optimization: 10th International Conference …, 2019
52019
Breeding diverse packings for the knapsack problem by means of diversity-tailored evolutionary algorithms
J Bossek, A Neumann, F Neumann
Proceedings of the Genetic and Evolutionary Computation Conference, 556-564, 2021
142021
cmaesr: Covariance Matrix Adaptation Evolution Strategy
J Bossek
R package version 1 (3), 2016
72016
cmaesr: Covariance Matrix Adaptation Evolution Strategy, 2016
J Bossek
R package version 1 (3), 0
6
Computing diverse sets of high quality TSP tours by EAX-based evolutionary diversity optimisation
A Nikfarjam, J Bossek, A Neumann, F Neumann
Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic …, 2021
172021
Computing Diverse Sets of Solutions for Monotone Submodular Optimisation Problems
A Neumann, J Bossek, F Neumann
arXiv preprint arXiv:2010.11486, 2020
12020
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
262020
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
302021
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Articles 1–20