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Thomas Voß
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2020 – today
- 2023
- [j4]Jens Heger
, Thomas Voß
Dynamically adjusting the k-values of the ATCS rule in a flexible flow shop scenario with reinforcement learning. Int. J. Prod. Res. 61(1): 147-161 (2023) - 2022
- [j3]Thomas Voß, Jens Heger, Mazhar Zein El Abdine:
Using Decision Trees and Reinforcement Learning for the Dynamic Adjustment of Composite Sequencing Rules in a Flexible Manufacturing System. Simul. Notes Eur. 32(3): 169-175 (2022) - 2021
- [c11]Patrick Krüger, Thomas Voß, Matthias Wietstruck:
Bond Strength Optimization of Plasma Activated Low Temperature Oxide-Oxide Fusion Bonding Through Thermocycling. 3DIC 2021: 1-5 - 2020
- [c10]Jens Heger, Thomas Voß
Dynamically Changing Sequencing Rules with Reinforcement Learning in a Job Shop System With Stochastic Influences. WSC 2020: 1608-1618
2010 – 2019
- 2019
- [c9]Janine Tatjana Maier
Simulation Based Optimization of Lot Sizes for Opposing Logistic Objectives. APMS (2) 2019: 171-179 - 2017
- [c8]Jens Heger
Optimal Scheduling for Automated Guided Vehicles (AGV) in Blocking Job-Shops. APMS (1) 2017: 151-158 - [c7]Paolo Mercorelli
Optimal trajectory generation using MPC in robotino and its implementation with ROS system. ISIE 2017: 1642-1647 - 2013
- [j2]Karl Bringmann, Tobias Friedrich, Christian Igel, Thomas Voß:
Speeding up many-objective optimization by Monte Carlo approximations. Artif. Intell. 204: 22-29 (2013) - 2011
- [c6]Tobias Friedrich, Karl Bringmann, Thomas Voß, Christian Igel:
The logarithmic hypervolume indicator. FOGA 2011: 81-92 - 2010
- [j1]Thomas Voß:
Discussion on: "Control by Interconnection and Energy Shaping Methods of Port Hamiltonian Models. Application to the Shallow Water Equations". Eur. J. Control 16(5): 564-566 (2010) - [c5]Thomas Voß, Nikolaus Hansen
Improved step size adaptation for the MO-CMA-ES. GECCO 2010: 487-494 - [c4]Thomas Voß, Tobias Friedrich, Karl Bringmann, Christian Igel:
Scaling up indicator-based MOEAs by approximating the least hypervolume contributor: a preliminary study. GECCO (Companion) 2010: 1975-1978 - [c3]Thomas Voß, Heike Trautmann, Christian Igel:
New Uncertainty Handling Strategies in Multi-objective Evolutionary Optimization. PPSN (2) 2010: 260-269
2000 – 2009
- 2009
- [c2]Thomas Voß, Nikolaus Hansen
Recombination for Learning Strategy Parameters in the MO-CMA-ES. EMO 2009: 155-168 - 2008
- [c1]Thomas Voß, Nicola Beume, Günter Rudolph, Christian Igel:
Scalarization versus indicator-based selection in multi-objective CMA evolution strategies. IEEE Congress on Evolutionary Computation 2008: 3036-3043
1990 – 1999
- 1998
- [b1]Thomas Voß:
Konzeption eines faseroptischen Hochgeschwindigkeitsnetzwerks für echtzeitfähige Parallelrechneranwendungen. RWTH Aachen University, Germany, 1998, pp. 1-133
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