Johannes Alexander Karder BSc MSc

A. Schober, K. Altendorfer, J. Karder, A. Beham - Influence of Workforce Qualification on Service Level - IFAC Papers Online, Vol. 52, No. 13, 2019, pp. 553-558 more

J. Karder, V. A. Hauder, A. Beham, K. Altendorfer, M. Affenzeller - A New Solution Encoding for Simulation-Based Multi-Objective Workforce Qualification Optimization - Proceedings of the 31st European Modeling and Simulation Symposium EMSS2019, Lissabon, Lissabon, Portugal, 2019, pp. 254-261 more

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

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

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

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

J. Karder, V. A. Hauder, A. Beham, S. Wagner, M. Affenzeller - Optimization Networks: An Innovative Solution Approach for Practical Logistics Problems in Logistics Research Yearbook 2017 - Trauner Verlag Linz, 2017, pp. 47-58 more

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

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

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

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

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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

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

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

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

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

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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

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

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

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