Dynamically adjusting the k-values of the ATCS rule in a flexible flow shop scenario with reinforcement learning - Jens Heger; Thomas Voß (Int. J. Prod. Res., 2023)

Using Decision Trees and Reinforcement Learning for the Dynamic Adjustment of Composite Sequencing Rules in a Flexible Manufacturing System - Thomas Voß; Jens Heger; Mazhar Zein El Abdine (Simul. Notes Eur., 2022)

Bond Strength Optimization of Plasma Activated Low Temperature Oxide-Oxide Fusion Bonding Through Thermocycling - Patrick Krüger; Thomas Voß; Matthias Wietstruck (IEEE International 3D Systems Integration Conference, 3DIC 2021, Raleigh, NC, USA, October 26-29, 2021, 2021)

Dynamically Changing Sequencing Rules with Reinforcement Learning in a Job Shop System With Stochastic Influences - Jens Heger; Thomas Voß (Winter Simulation Conference, WSC 2020, Orlando, FL, USA, December 14-18, 2020, 2020)

Simulation Based Optimization of Lot Sizes for Opposing Logistic Objectives - Janine Tatjana Maier; Thomas Voß; Jens Heger; Matthias Schmidt (Advances in Production Management Systems. Towards Smart Production Management Systems - IFIP WG 5.7 International Conference, APMS 2019, Austin, TX, USA, September 1-5, 2019, Proceedings, Part II, 2019)

Optimal Scheduling for Automated Guided Vehicles (AGV) in Blocking Job-Shops - Jens Heger; Thomas Voß (Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2017, Hamburg, Germany, September 3-7, 2017, Proceedings, Part I, 2017)

Optimal trajectory generation using MPC in robotino and its implementation with ROS system - Paolo Mercorelli; Thomas Voß; Daniel Strassberger; Oleg Sergiyenko; Lars Lindner (26th IEEE International Symposium on Industrial Electronics, ISIE 2017, Edinburgh, United Kingdom, June 19-21, 2017, 2017)

Speeding up many-objective optimization by Monte Carlo approximations - Karl Bringmann; Tobias Friedrich; Christian Igel; Thomas Voß (Artif. Intell., 2013)

The logarithmic hypervolume indicator - Tobias Friedrich; Karl Bringmann; Thomas Voß; Christian Igel (Foundations of Genetic Algorithms, 11th International Workshop, FOGA 2011, Schwarzenberg, Austria, January 5-8, 2011, Proceedings, 2011)

Discussion on: "Control by Interconnection and Energy Shaping Methods of Port Hamiltonian Models. Application to the Shallow Water Equations" - Thomas Voß (Eur. J. Control, 2010)

Improved step size adaptation for the MO-CMA-ES - Thomas Voß; Nikolaus Hansen; Christian Igel (Genetic and Evolutionary Computation Conference, GECCO 2010, Proceedings, Portland, Oregon, USA, July 7-11, 2010, 2010)

Scaling up indicator-based MOEAs by approximating the least hypervolume contributor: a preliminary study - Thomas Voß; Tobias Friedrich; Karl Bringmann; Christian Igel (Genetic and Evolutionary Computation Conference, GECCO 2010, Proceedings, Portland, Oregon, USA, July 7-11, 2010, Companion Material, 2010)

New Uncertainty Handling Strategies in Multi-objective Evolutionary Optimization - Thomas Voß; Heike Trautmann; Christian Igel (Parallel Problem Solving from Nature - PPSN XI, 11th International Conference, Kraków, Poland, September 11-15, 2010. Proceedings, Part II, 2010)

Recombination for Learning Strategy Parameters in the MO-CMA-ES - Thomas Voß; Nikolaus Hansen; Christian Igel (Evolutionary Multi-Criterion Optimization, 5th International Conference, EMO 2009, Nantes, France, April 7-10, 2009. Proceedings, 2009)

Scalarization versus indicator-based selection in multi-objective CMA evolution strategies - Thomas Voß; Nicola Beume; Günter Rudolph; Christian Igel (Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2008, June 1-6, 2008, Hong Kong, China, 2008)

Konzeption eines faseroptischen Hochgeschwindigkeitsnetzwerks für echtzeitfähige Parallelrechneranwendungen - Thomas Voß (RWTH Aachen University, Germany, 1998)