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Andreas Fischbach
Andreas Fischbach
TH Köln
Verified email at tu-dortmund.de
Title
Cited by
Cited by
Year
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
Efficient global optimization for combinatorial problems
M Zaefferer, J Stork, M Friese, A Fischbach, B Naujoks, T Bartz-Beielstein
Proceedings of the 2014 annual conference on genetic and evolutionary …, 2014
742014
Open issues in surrogate-assisted optimization
J Stork, M Friese, M Zaefferer, T Bartz-Beielstein, A Fischbach, ...
High-performance simulation-based optimization, 225-244, 2020
482020
CAAI—a cognitive architecture to introduce artificial intelligence in cyber-physical production systems
A Fischbach, J Strohschein, A Bunte, J Stork, H Faeskorn-Woyke, N Moriz, ...
The International Journal of Advanced Manufacturing Technology 111, 609-626, 2020
272020
Evaluation of cognitive architectures for cyber-physical production systems
A Bunte, A Fischbach, J Strohschein, T Bartz-Beielstein, ...
2019 24th IEEE International Conference on Emerging Technologies and Factory …, 2019
212019
Simulation-based test functions for optimization algorithms
M Zaefferer, A Fischbach, B Naujoks, T Bartz-Beielstein
Proceedings of the genetic and evolutionary computation conference, 905-912, 2017
122017
Tuning multi-objective optimization algorithms for cyclone dust separators
M Zaefferer, B Breiderhoff, B Naujoks, M Friese, J Stork, A Fischbach, ...
Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014
122014
From real world data to test functions
A Fischbach, M Zaefferer, J Stork, M Friese, T Bartz-Beielstein
112016
Improving the reliability of test functions generators
A Fischbach, T Bartz-Beielstein
Applied Soft Computing 92, 106315, 2020
102020
Benchmarking in optimization: best practice and open issues. CoRR abs/2007.03488 (2020)
T Bartz-Beielstein, C Doerr, J Bossek, S Chandrasekaran, T Eftimov, ...
arXiv preprint arXiv:2007.03488, 2020
102020
Cognitive capabilities for the CAAI in cyber-physical production systems
J Strohschein, A Fischbach, A Bunte, H Faeskorn-Woyke, N Moriz, ...
The International Journal of Advanced Manufacturing Technology 115 (11 …, 2021
82021
Benchmarking in optimization: Best practice and open issues. arXiv
T Bartz-Beielstein, C Doerr, J Bossek, S Chandrasekaran, T Eftimov, ...
arXiv preprint arXiv:2007.03488, 2020
72020
Benchmark-driven configuration of a parallel model-based optimization algorithm
F Rehbach, M Zaefferer, A Fischbach, G Rudolph, T Bartz-Beielstein
IEEE Transactions on Evolutionary Computation 26 (6), 1365-1379, 2022
52022
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
Data-driven problem classification and algorithm selection for injection molding optimization
A Fischbach, F Rehbach, D Anders
Journal of International Scientific Publications: Materials, Methods …, 2022
12022
Analyzing Capabilities of Latin Hypercube Designs Compared to Classical Experimental Design Methods
A Fischbach, J Stork, M Zaefferer, S Krey, T Bartz-Beielstein
25. Workshop Computational Intelligence, 255-270, 2015
12015
Boosting Parameter-Tuning Efficiency with Adaptive Experimental Designs
J Stork, A Fischbach, T Bartz-Beielstein, M Zaefferer, AE Eiben
ProcEEDings 24. Workshop comPutational intElligEncE, 223, 0
1
Benchmark-Driven Algorithm Configuration Applied to Parallel Model-Based Optimization
F Rehbach, M Zaefferer, A Fischbach, G Rudolph, T Bartz-Beielstein
Authorea Preprints, 2023
2023
Automatic online algorithm selection for optimization in cyber-physical production systems
A Fischbach
Dissertation, Dortmund, Technische Universität, 2023, 2023
2023
Benchmarking: Best Practices and Open Issues
T Bartz-Beielstein, C Doerr, J Bossek, S Chandrasekaran, T Eftimov, ...
2020
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Articles 1–20