Sören Bergmann

Orcid: 0000-0001-6234-3621

According to our database1, Sören Bergmann authored at least 25 papers between 2010 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
A Method Using Generative Adversarial Networks for Robustness Optimization.
ACM Trans. Model. Comput. Simul., 2022

Development of an Integrated Solution for Data Farming and Knowledge Discovery in Simulation Data.
Simul. Notes Eur., 2022

Optimization of the Design of Modular Production Systems.
Proceedings of the Winter Simulation Conference, 2022

2020
Knowledge Discovery in Simulation Data.
ACM Trans. Model. Comput. Simul., 2020

Simulation-Based Deep Reinforcement Learning For Modular Production Systems.
Proceedings of the Winter Simulation Conference, 2020

A Method for Robustness Optimization Using Generative Adversarial Networks.
Proceedings of the 2019 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2020

Visualization and Interaction for Knowledge Discovery in Simulation Data.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

2019
Wissensentdeckung und Robustheitsanalyse für Simulationsmodelle weltweiter Netze(Knowledge Discovery and Robustness Analysis for Simulation Models of Global Networks).
Proceedings of the First Workshop on Systemic Risks in Global Networks co-located with 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), 2019

Knowledge Discovery in Scheduling Systems Using Evolutionary Bilevel Optimization and Visual Analytics.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2018
Combining Data Farming and Data envelopment Analysis for Measuring Productive Efficiency in manufacturing simulations.
Proceedings of the 2018 Winter Simulation Conference, 2018

Bilevel innovization: knowledge discovery in scheduling systems using evolutionary bilevel optimization and visual analytics.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
Emulation of control strategies through machine learning in manufacturing simulations.
J. Simulation, 2017

Knowledge discovery in simulation data - A case study for a backhoe assembly line.
Proceedings of the 2017 Winter Simulation Conference, 2017

Knowledge discovery and robustness analysis in manufacturing simulations.
Proceedings of the 2017 Winter Simulation Conference, 2017

Online Analysis of Simulation Data with Stream-based Data Mining.
Proceedings of the 2017 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2017

2016
Knowledge discovery in simulation data: A case study of a gold mining facility.
Proceedings of the Winter Simulation Conference, 2016

2015
Visual analytics of manufacturing simulation data.
Proceedings of the 2015 Winter Simulation Conference, 2015

Approximation of dispatching rules for manufacturing simulation using data mining methods.
Proceedings of the 2015 Winter Simulation Conference, 2015

Knowledge Discovery in Manufacturing Simulations.
Proceedings of the 3rd ACM Conference on SIGSIM-Principles of Advanced Discrete Simulation, London, United Kingdom, June 10, 2015

2014
On the use of artificial neural networks in simulation-based manufacturing control.
J. Simulation, 2014

2012
Model generation in SLX using CMSD and XML stylesheet transformations.
Proceedings of the Winter Simulation Conference, 2012

A new web based method for distribution of simulation experiments based on the CMSD standard.
Proceedings of the Winter Simulation Conference, 2012

2011
Initialization of simulation models using CMSD.
Proceedings of the Winter Simulation Conference 2011, 2011

Approximation of Dispatching Rules in Manufacturing Control Using Artificial Neural Networks.
Proceedings of the 25th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation, 2011

2010
Challenges for the automatic generation of simulation models for production systems.
Proceedings of the SummerSim '10, 2010


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