Accepted

• Werth, B.; Karder, J.; Beham, A.; Pitzer, E.; Wagner, S.; 2023. Walking through the Quadratic Assignment-Instance Space: Algorithm Performance and Landscape Measures. GECCO 2023 Companion Publication [accepted, to be published]

Published

• Karder, J.; Werth, B.; Beham, A.; Wagner, S.; Affenzeller, M.; 2023. Novel Benchmark Environment for Dynamic Factory Crane Scheduling. Procedia Computer Science Volume 217, 2023, Pages 1217-1224.

• Werth, B.; Karder, J.; Beham, A.; Altendorfer, K.; 2023. Simulation-based Optimization of Material Requirements Planning Parameters. Procedia Computer Science Volume 217, 2023, Pages 1117-1126.

• Werth, B.; Pitzer, E; Karder, J.; Wagner, S.; Affenzeller, M.; 2022. Dynamic Vehicle Routing with Time-Linkage: From Problem States to Algorithm Performance. 18th International Conference on Computer Aided Systems Theory - EUROCAST 2022 Las Palmas de Gran Canaria, Spain.

• Beham, A.; Leitner, S.; Karder, J.; Werth, B.; Wagner, S.; 2022. DynStack - A Benchmarking Framework for Dynamic Optimization Problems in Warehouse Operations. In Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion (GECCO '22). Association for Computing Machinery

• Karder, J.; Werth, B.; Beham, A.; Wagner, S; Affenzeller, M.; 2022. Analysis and Handling of Dynamic Problem Changes in Open-Ended Optimization. Computer Aided Systems Theory – Eurocast 2022 - 18th International Conference

• Beham, A.; Leitner, S.; Wagner, S. 2022. An Open Ended Multi-Objective Approach for Solving a Dynamic Optimization Problem in Steel Logistics. Computer Aided Systems Theory – Eurocast 2022 - 18th International Conference

• Werth, B; Pitzer, E; Karder, J; Wagner, S; Affenzeller, M.; 2022. Measuring Features of Dynamic and Time-Linked Optimization Problems. Computer Aided Systems Theory – Eurocast 2022 - 18th International Conference, Revised Selected Papers (to appear)

• Werth, B; Beham, A.; Karder, J; Wagner, S.; Affenzeller, M.; 2022. Fitness Landscape Analysis on Binary Dynamic Optimization Problems. Procedia Computer Science, 200, 1004-1013.

• Braune, R.; 2022. Packing-based branch-and-bound for discrete malleable task scheduling. Journal of Scheduling 25, 675-704.

• Grabenschweiger, J.; Dörner, K.F.; Hartl, R.F.; 2022. The Multi-Period Location Routing Problem with Locker Boxes. Logistics Research 15(1), 1-25.

• Braune, R.; Benda, F.; Dörner, K.F.; Hartl, R.F.; 2022. A genetic programming learning approach to generate dispatching rules for flexible shop scheduling problems. International Journal of Production Economics Vol. 243.

• Beham, A.; Raggl, S.; Karder, J.; Werth, B.; Wagner, S; 2022. Dynamic Warehouse Environments for Crane Stacking and Scheduling. Procedia Computer Science, 200, 1461-1470.

• Beham, A.; Raggl, S.; Hauder, V.A.; Karder, J.; Wagner, S.; Affenzeller, M; 2020. Performance, Quality, and Control in Steel Logistics 4.0. Procedia Manufacturing, pp. 429-433.

• Grabenschweiger, J.; Doerner, K.F.; Hartl, R.F.; Savelsbergh, M.W.P.; 2021. The vehicle routing problem with heterogeneous locker boxes. Central European Journal of Operations Research, 29, pp. 113–142.

• Hauder, V.A.; Beham, A.; Raggl, S.; Parragh, S.N.; Affenzeller, M. 2020. Resource-constrained multi-project scheduling with activity and time flexibility. Computers & Industrial Engineering, 150, 106857, p. 14.

• Hauder, V.A.; Beham, A.; Wagner, S.; Doerner, K.; Affenzeller, M. 2020. Dynamic online optimization in the context of smart manufacturing: an overview. Procedia Computer Science, 180, pp. 988-995.

• Karder, J.; Beham, A.; Werth, B.; Wagner, S.; Affenzeller, M. 2022. Integrated Machine Learning in Open-Ended Crane Scheduling: Learning Movement Speeds and Service Times. Procedia Computer Science, 200, pp. 1031-1040.

• Raggl, S.; Beham, A.; Wagner, S; Affenzeller, M. 2020. Solution Approaches for the Dynamic Stacking Problem. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion (GECCO '20). Association for Computing Machinery, pp. 1652-1660.

• Raggl, S.; Beham, A.; Wagner, S; Affenzeller, M. 2020. Effects of Arrival Uncertainty on Solver Performance in Dynamic Stacking Problems. Proceedings of the 32nd European Modeling and Simulation Symposium EMSS2020, pp. 193-200.

• Roljic, B.; Raggl, S.; Dörner, K.F. 2021. Stacking and transporting steel slabs using high-capacity vehicles. Procedia Computer Science, 180, pp. 843-851.

• Werth, B.; Karder, J.; Beham, A.; Wagner, S. 2021. Dynamic landscape analysis for open-ended stacking. In Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion (GECCO '21). Association for Computing Machinery, pp. 1700-1707.

• Werth, B.; Karder, J.; Beham, A.; Wagner, S. 2020. Hyper-Parameter Handling for Gaussian Processes in Efficient Global Optimization. Proceedings of the 19th international conference on Modelling and Applied Simulation MAS2020, pp. 60-67.