Advances in the Practice and Theory of Automated Timetabling - Part 1 | PATAT

Advances in the Practice and Theory of Automated Timetabling - Part 1

URL:

https://link.springer.com/journal/10951/volumes-and-issues/25-3

Journal:

Journal of Scheduling

Publication Date:

June, 2022

Editors:

Ender Özcan

University Of Nottingham

United Kingdom

GB

Patrick De Causmaecker

KU Leuven

Belgium

BE

Greet Vanden Berghe

KU Leuven

Belgium

BE

Table Of Contents

Selected Papers

Özcan E, De Causmaecker P, Berghe GVanden. 2022. Advances in the practice and theory of automated timetabling. Journal of Scheduling. 25:259–259.
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Van Bulck D, Goossens D. 2022. Optimizing rest times and differences in games played: an iterative two-phase approach. Journal of Scheduling. 25:261–271.
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Fonseca GHG, Toffolo TAM. 2022. A fix-and-optimize heuristic for the ITC2021 sports timetabling problem. Journal of Scheduling. 25:273–286.
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Lester MMariusz. 2022. Pseudo-Boolean optimisation for RobinX sports timetabling. Journal of Scheduling. 25:287–299.
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Rosati RMaria, Petris M, Di Gaspero L, Schaerf A. 2022. Multi-neighborhood simulated annealing for the sports timetabling competition ITC2021. Journal of Scheduling. 25:301–319.
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Alfares HK. 2022. Plant shutdown maintenance workforce team assignment and job scheduling. Journal of Scheduling. 25:321–338.
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Vass J, Lackner M-L, Mrkvicka C, Musliu N, Winter F. 2022. Exact and meta-heuristic approaches for the production leveling problem. Journal of Scheduling. 25:339–370.
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