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 | 125 | 2020 |
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 | 78 | 2014 |
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 | 51 | 2020 |
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 | 28 | 2020 |
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 | 22 | 2019 |
Improving the reliability of test functions generators A Fischbach, T Bartz-Beielstein Applied Soft Computing 92, 106315, 2020 | 12 | 2020 |
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 | 12 | 2017 |
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 | 12 | 2014 |
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 | 11 | 2020 |
From real world data to test functions A Fischbach, M Zaefferer, J Stork, M Friese, T Bartz-Beielstein | 11 | 2016 |
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 | 8 | 2021 |
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 | 5 | 2022 |
Benchmarking in optimization: Best practice and open issues. NY, USA: Cornell University; 2020. 50 p T Bartz-Beielstein, C Doerr, J Bossek, S Chandrasekaran, T Eftimov, ... | 5 | |
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 | 1 | 2022 |
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 | 1 | 2015 |
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 |