M.Sc. Tobias Benecke
M.Sc. Tobias Benecke
Faculty of Computer Science
Chair of Computational Intelligence
Chair of Computational Intelligence
Gebäude 29, Universitätsplatz 2,
39106, Magdeburg,
G29-019
Tobias Benecke is a PhD student at the Chair of Computational Intelligence of the Otto-von-Guericke-University Magdeburg (OvGU). Here he also obtained his master's degree in Computer Visualization in 2020. His current research focuses on the population dynamics in evolutionary algorithms.
Publications
- Tobias Benecke, Sanaz Mostaghim
- Effects of Optimal Genetic Material in the Initial Population of Evolutionary Algorithms
- IEEE Symposium Series on Computational Intelligence (SSCI), 2023
- DOI: 10.1109/SSCI52147.2023.10372037, IEEE Xplore
- Code available on GitHub
- Oliver Antons, Tobias Benecke, Sanaz Mostaghim and Julia Arlinghaus
- Sustainability in Chemical Production–Multi-Objective Distributed Control
- New Trends in Intelligent Software Methodologies, Tools and Techniques, 2023
- DOI: 10.3233/FAIA230236
- Tobias Benecke, Oliver Antons, Sanaz Mostaghim and Julia Arlinghaus
- A Coevolution approach for the Multi-objective Circular Supply Chain Problem
- IEEE Conference on Artificial Intelligence (CAI), 2023,
- DOI: 10.1109/CAI54212.2023.00103, IEEE Xplore
- Code available on GitHub
- Tobias Benecke, Oliver Antons, Sanaz Mostaghim and Julia Arlinghaus
- A Generalized Circular Supply Chain Problem for Multi-objective Evolutionary Algorithms
- Genetic and Evolutionary Computation Conference Companion (GECCO), 2023
- DOI: 10.1145/3583133.3590742, ACM Digital Library
- Sebastian Mai, Tobias Benecke and Sanaz Mostaghim
- MACO: A Real-World Inspired Benchmark for Multi-objective Evolutionary Algorithms
- Evolutionary Multi-Criterion Optimization (EMO), 2023
- DOI: 110.1007/978-3-031-27250-9_22, Springer Link
- Tobias Benecke and Sanaz Mostaghim
- Estimating the quality of initial populations in multi-objective evolutionary algorithms
- Genetic and Evolutionary Computation Conference Companion (GECCO), 2022
- DOI: 10.1145/3520304.3528796, ACM Digital Library
- Tobias Benecke and Sanaz Mostaghim
- The Impact of Population Size on the Convergence of Multi-objective Evolutionary Algorithms
- IEEE Symposium Series on Computational Intelligence (SSCI), 2021
- DOI: 10.1109/SSCI50451.2021.9660164, IEEE Xplore
- Tobias Benecke and Sanaz Mostaghim
- Tracking the Heritage of Genes in Evolutionary Algorithms
- IEEE Congress on Evolutionary Computation (CEC), 2021
- DOI: 10.1109/CEC45853.2021.9504916, IEEE Xplore
- Cristian Ramirez-Atencia, Tobias Benecke and Sanaz Mostaghim
- T-EA: A Traceable Evolutionary Algorithm
- IEEE Congress on Evolutionary Computation (CEC), World Congress on Computational Intelligence (WCCI), 2020
- DOI: 10.1109/CEC48606.2020.9185615, IEEE Xplore, Link to video presentation