Advances in the practice and theory of automated timetabling.
- Published in:
- Journal of Scheduling, 2022, v. 25, n. 3, p. 259, doi. 10.1007/s10951-022-00746-6
- By:
- Publication type:
- Article
Works matching IS 10946136 AND DT 2022 AND VI 25 AND IP 3
Results: 7
1
2
Multi-neighborhood simulated annealing for the sports timetabling competition ITC2021.
- Published in:
- Journal of Scheduling, 2022, v. 25, n. 3, p. 301, doi. 10.1007/s10951-022-00740-y
- By:
- Publication type:
- Article
3
A fix-and-optimize heuristic for the ITC2021 sports timetabling problem.
- Published in:
- Journal of Scheduling, 2022, v. 25, n. 3, p. 273, doi. 10.1007/s10951-022-00738-6
- By:
- Publication type:
- Article
4
Pseudo-Boolean optimisation for RobinX sports timetabling.
- Published in:
- Journal of Scheduling, 2022, v. 25, n. 3, p. 287, doi. 10.1007/s10951-022-00737-7
- By:
- Publication type:
- Article
5
Exact and meta-heuristic approaches for the production leveling problem.
- Published in:
- Journal of Scheduling, 2022, v. 25, n. 3, p. 339, doi. 10.1007/s10951-022-00721-1
- By:
- Publication type:
- Article
6
Plant shutdown maintenance workforce team assignment and job scheduling.
- Published in:
- Journal of Scheduling, 2022, v. 25, n. 3, p. 321, doi. 10.1007/s10951-021-00718-2
- By:
- Publication type:
- Article
7
Optimizing rest times and differences in games played: an iterative two-phase approach.
- Published in:
- Journal of Scheduling, 2022, v. 25, n. 3, p. 261, doi. 10.1007/s10951-021-00717-3
- By:
- Publication type:
- Article