Staff
M.Sc. Dmytro Pukhkaiev
Contact information
| Email: | |
| Phone: | (+49) 351 463 38493 |
| Fax: | (+49) 351 463 38459 |
| Address: | Zi. APB 2080 Nöthnitzer Str. 46 01187 Dresden |
| Consultation: |
Publications
List of last publications
- Multi-objective Parameter Tuning with Dynamic Compositional Surrogate Models, (Dmytro Pukhkaiev and Oleksandr Husak and Sebastian Götz and Uwe Aßmann), Learning and Intelligent Optimization (accepted)
- Challenges of Stochastic Project Scheduling in Manual Manufacturing: A Hybrid Simulation-Based Scheduling Approach, (Mathias Kühn, Thorsten Schmidt, René Schöne, Dmytro Pukhkaiev, Uwe Aßmann), SIMUL 2020, The Twelfth International Conference on Advances in System Simulation
- Combined Selection and Parameter Control of Meta-heuristics, (Dmytro Pukhkaiev and Yevhenii Semendiak and Sebastian Götz and Uwe Aßmann), 2020 IEEE Symposium Series on Computational Intelligence (SSCI)
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Research projects
List of last projects
No project with id 0 - 74Teaching
Academic Year 2021/2022
| Winter Semester | Summer Semester |
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Students' theses
Current students' theses
No students' theses to display!Past students' theses
| Kind | Topic | Student |
|---|---|---|
| MA | Capturing Variability of Dynamic Multi-model Surrogate Optimization | Volodymyr Prokopets |
| MA | Transfer Learning for Multi-surrogate-model Optimization | Nataliia Gvozdetska |
| MA | From Parameter Tuning to Dynamic Heuristic Selection | Yevhenii Semendiak |
| MA | Systematic Parameter Tuning of Genetic Optimization Approaches | Roman Kosovnenko |
| MA | Compositional Multi-objective Parameter Tuning | Oleksandr Husak |
| MA | Parameter Tuning in Combinatorial Search Spaces | Ievgeniia Svetsynska |