Person

Johannes Alexander Karder BSc MSc

2018
J. Karder, A. Beham, B. Werth, S. Wagner, M. Affenzeller - Asynchronous Surrogate-assisted Optimization Networks - GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Kyoto, Japan, Japan, 2018, pp. 1266-1267 more
2018
J. Karder, A. Beham, S. Wagner, M. Affenzeller - Distributed Simulation Execution on a High-Performance Cluster using Heuristiclab Hive - Proceedings of the 30th European Modeling and Simulation Symposium EMSS2018, Budapest, Hungary, Hungary, 2018, pp. 107-114 more
2018
J. Karder, K. Altendorfer, A. Beham, A. Peirleitner - Regression Methods for Surrogate Modeling of a Real Production System Approximating the Influence on Inventory and Tardiness - Proceedings of the 2018 Winter Simulation Conference, Göteborg, Sweden, 2018, pp. 2037-2048 more
2017
J. Karder, S. Wagner, A. Beham, M. Kommenda, M. Affenzeller - Towards the Design and Implementation of Optimization Networks in HeuristicLab - GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Berlin, Germany, Germany, 2017, pp. 1209-1214 more
2017
V. A. Hauder, J. Karder, A. Beham, S. Wagner, M. Affenzeller - A General Solution Approach for the Location Routing Problem - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spain, 2017, pp. 8 more
2017
J. Karder, A. Beham, S. Wagner, M. Affenzeller - Solving the Traveling Thief Problem using Orchestration in Optimization Networks - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spain, 2017, pp. 307-315 more
2017
M. Kommenda, J. Karder, A. Beham, B. Burlacu, G. K. Kronberger, S. Wagner, M. Affenzeller - Optimization Networks for Integrated Machine Learning - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spain, 2017, pp. 392-399 more
2017
J. Karder, V. A. Hauder, A. Beham, S. Wagner, M. Affenzeller - Optimization Networks: An Innovative Solution Approach for Practical Logistics Problems in - (Editors: Karl F. Dörner, Matthias Prandtstetter, Friedrich P. Starkl, Tina Wakolbinger (Hrsg.)) - Trauner Verlag Linz, 2017, pp. 47-58 more
2016
J. Karder, A. Scheibenpflug, S. Wagner, M. Affenzeller - Generation of Dispatching Rules for Job Sequencing in single-machine Environments - Proceedings of the 28th European Modeling and Simulation Symposium EMSS 2016, Larnaca, Cyprus, 2016, pp. 5 more
2016
J. Karder, A. Scheibenpflug, A. Beham, S. Wagner, M. Affenzeller - Extending Sim# for simulation-based optimisation of semi-automated machinery - International Journal of Simulation and Process Modelling, 2016 more
2015
A. Scheibenpflug, A. Beham, M. Kommenda, J. Karder, S. Wagner, M. Affenzeller - Simplifying Problem Definitions in the HeuristicLab Optimization Environment - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference, GECCO'15 Companion, Madrid, Spain, 2015, pp. 1101-1108 more
2015
J. Karder, A. Scheibenpflug, S. Wagner, M. Affenzeller - Optimizing Set-up Times using the HeuristicLab Optimization Environment - Lecture Notes in Computer Science LNCS 9520, Las Palmas, Gran Canaria, Spain, 2015, pp. 286-293 more
2015
J. Karder, A. Scheibenpflug, A. Beham, S. Wagner, M. Affenzeller - Simulation-based Set-up Time Optimization using Sim# and HeuristicLab - Proceedings of the 27th European Modeling and Simulation Symposium EMSS 2015, Bergeggi, Italy, 2015, pp. 289-294 more
2014
A. Beham, G. K. Kronberger, J. Karder, M. Kommenda, A. Scheibenpflug, S. Wagner, M. Affenzeller - Integrated Simulation and Optimization in HeuristicLab - Proceedings of the 26th European Modeling and Simulation Symposium EMSS 2014, Bordeaux, France, 2014, pp. 418-423 more
2017
Despite many methodological advances, automated production planning optimization is still not widely used in practice. Instead of relying on Advanced Planning and Scheduling (APS) systems, many companies… more
2014
NPS investigates new methods for priority-rule-based guidance and control of flexible,volatile production processes at the operational shop floor level according to user-definedstrategies. To do so, complex… more
2014
This project aims to develop novel algorithms in order to gain additional optimization potential by modeling and optimizing interrelated logistics and production processes in an integrative way.Efficient… more
2010
HeuristicLab is an open source system for heuristic optimization that features several metaheuristic optimization algorithms (e.g., genetic algorithms, genetic programming, evolution strategies, tabu search,… more