Plenary Papers |
Graphical Optimization Models to address the Multi-Activity Shift Scheduling Problems Louis-Martin Rousseau. |
3 |
University course timetabling and International Timetabling Competition 2019 Tomáš Müller, Hana Rudová and Zuzana Müllerová. |
5-31 |
Scheduling Matters – Some Potential Requirements for Future Rostering Competitions from a Practitioner’s View Johannes Gärtner, Philip Bohle, Anna Arlinghaus, Werner Schafhauser, Thomas Krennwallner and Magdalena Widl. |
33-42 |
Optimizing Mobility Services Pascal Van Hentenryck. |
43 |
Invited tutorials |
Specifying Timetabling Problems: An Ongoing Story Jeffrey H. Kingston. |
47 |
Simulated Annealing and its application to timetable problems Andrea Schaerf. |
49 |
Full papers |
An integer programming approach for the physician rostering problem Toni I. Wickert, Alberto F. Kummer Neto and Luciana S. Buriol. |
53-67 |
Constraint reformulation for nurse rostering problems Pieter Smet. |
69-80 |
A Unified Nurse Rostering Model Based on XHSTT Jeffrey H. Kingston, Gerhard Post and Greet Vanden Berghe. |
81-96 |
Modelling History in Nurse Rostering Jeffrey H. Kingston. |
97-111 |
KHE18: A Solver for Nurse Rostering Jeffrey H. Kingston. |
113-127 |
A Bi-Criteria Simulated Annealing Algorithm for the Robust University Course Timetabling Problem Ayla Gülcü and Can Akkan. |
129-136 |
Solving the Shifts and Breaks Design Problem Using Integer Linear Programming Arjan Akkermans, Gerhard Post and Marc Uetz. |
137-152 |
A Multi-Objective Timetabling System That Facilitates Scheduling Across Academic Programs Daniel S. Myers and Jay Yellen. |
153-170 |
An Integer Programming Formulation for the Music School Timetabling problem Eyjólfur Ingi Ásgeirsson and Þórhildur Gunnarsdóttir. |
171-182 |
Long-term workload equality on duty schedules for physicians in hospitals Christopher N. Gross. |
183-197 |
Constraint Definition in Student Scheduling with Adversarial Behaviour in Mind Miguel Sozinho Ramalho. |
199-214 |
Decomposition of University Course Timetabling - A Systematic Study of Subproblems and their Complexities Britta Herres and Heinz Schmitz. |
215-233 |
An A* Algorithm for Solving a Prize-Collecting Sequencing Problem with One Common and Multiple Secondary Resources and Time Windows Matthias Horn, Günther R. Raidl and Elina Rönnberg. |
235-256 |
A buffering-strategy-based re-optimization approach to dynamic pickup and delivery problems with time windows Farzaneh Karami, Wim Vancroonenburg and Greet Vanden Berghe. |
257-293 |
Probabilistic Curriculum-based Examination Timetabling Bernd Bassimir and Rolf Wanka. |
273-285 |
Constraint Programming Modeling for the Task Scheduling Problem with Data Storage at MPSoCs Christos Valouxis, Christos Gogos, Panayiotis Alefragis, George Theodoridis and Nikolaos Voros. |
287-297 |
Partially Concurrent Open Shop Scheduling with Preemption and Limited Resources Hagai Ilani, Tal Grinshpoun and Elad Shufan. |
299-311 |
Stochastic Timetabling Techniques for Integrated Optimization of Catheterization Laboratories and Wards Irving I. van Heuven van Staereling, René Bekker and Cornelis P. Allaart. |
313-329 |
Solving the INRC-II Nurse Rostering Problem by Simulated Annealing based on Large Neighborhoods Sara Ceschia and Andrea Schaerf. |
331-338 |
Designing Reusable and Run-Time Evolvable Scheduling Software Güner Orhan, Mehmet Akşit and Arend Rensink. |
339-373 |
Multivalued Decision Diagrams for a Prize-Collecting Sequencing Problem Johannes Maschler and Günther R. Raidl. |
375-397 |
Extended abstracts |
Cluster and Learn: Cluster-Specific Heuristics for Graph Coloring Seda Polat Erdeniz and Alexander Felfernig. |
401-404 |
What time is good for you: To what extent do student perceptions of the time of their activities motivate their attendance behaviours? Helen Kirby-Hawkins. |
405-408 |
Scheduling products at paced assembly lines with a multiple-piece flow Xiyu Li, Alena Otto and Erwin Pesch. |
409-412 |
Combined activity selection and skilled staff scheduling for the Red Cross blood donation services Petra Vogl and Roland Braune. |
413-415 |
Heuristic enhancements of a constraint generation procedure for scheduling of avionic systems Emil Karlsson, Elina Rönnberg, Andreas Stenberg and Hannes Uppman. |
417-419 |
A Lagrangian Heuristic for Integrated Timetabling and Vehicle Scheduling Antonio Frangioni, Laura Galli, Samuela Carosi, Leopoldo Girardi and Giuliano Vallese. |
421-425 |
Local search for stochastic parallel machine scheduling: improving performance by estimating the makespan Guido Passage, Marjan Van Den Akker and Han Hoogeveen. |
427-428 |
Approximate dynamic programming for patient admission scheduling Thiago Augusto de Oliveira Silva, Wim Vancroonenburg and Greet Vanden Berghe. |
429-431 |
Resilient Course and Instructor Scheduling in the Mathematics Department at the United States Naval Academy Stephen J. Ward, Joseph Foraker and Nelson A. Uhan. |
433-434 |
Real-life Decision Support for the Locomotive Assignment Problem with Heterogeneous Consists Martin Scheffler, Janis S. Neufeld and Michael Hölscher. |
435-438 |
Dynamic Programming With Strengthened Dominance for the Multi-Runway Sequencing and Allocation Problem Geert De Maere, Jason A.D. Atkin and Elizabeth M. Argyle. |
439-443 |
Automated Course Timetabling at Escuela Politecnica Nacional Luis M. Torres and Ramiro Torres. |
445-447 |
A pattern-based staff scheduling model and applications for part-time employees Wei Wu and Atsuko Ikegami. |
449-451 |
Solution-Based Phase Saving and MaxSAT for Employee Scheduling: A Computational Study Emir Demirović, Nysret Musliu, Peter J. Stuckey and Felix Winter. |
453-457 |
University Timetable Quality Optimization Using Multi-Objective Integer Programming Dennis Holm, Matias Sørensen and Thomas Stidsen. |
459-463 |
A Local Search Framework for Industrial Test Laboratory Scheduling Florian Mischek and Nysret Musliu. |
465-467 |
Solving the General Employee Scheduling Problem Lucas Kletzander and Nysret Musliu. |
469-472 |
A two-phase heuristic approach to English football fixture scheduling over the holiday period John H. Drake and Paul Dempster. |
473-475 |
Modeling and Solving an Automotive Paint Shop Scheduling Problem Felix Winter, Emir Demirović, Nysret Musliu and Christoph Mrkvicka. |
477-480 |
RobinX: an XML driven classification for round-robin sports timetabling David Van Bulck, Dries Goossens, Jörn Schönberger and Mario Guajardo. |
481-484 |
Crew Pairing Optimization using Hyper-Heuristics Bahadir Zeren, Ender Özcan and Muhammet Deveci. |
485 |
A robust approach for creating similar vehicle schedules in practice Balázs Dávid and Miklós Krész. |
487-488 |
Pruning for the QPPTW airport ground movement algorithm Jason Atkin, Christofas Stergianos, Elizabeth M. Argyle and Geert De Maere. |
489-492 |
Iterated Local Search Algorithm for the Capacitated Team Orienteering Problem Aldy Gunawan, Kien Ming Ng, Vincent F. Yu, Gordy Adiprasetyo and Hoong Chuin Lau. |
493-496 |
Hyper-heuristics for Solving a Multi-objective Examination Timetabling Problem Ahmad Muklason, Andrew J. Parkes, Ender Özcan, Simon N. Kingston, Barry McCollum and Paul McMullan. |
497 |
Solving a Demonstration Timetabling Problem Alexander Steenson, Ender Özcan and Andrew J. Parkes. |
499 |
Polynomial-time Personnel Scheduling with Soft Constraints Chao Li, Pieter Smet and Patrick De Causmaecker. |
501-505 |