Cornell University Uses Integer Programming to Optimize Final Exam Scheduling

This paper presents an integer programming-based optimization framework designed to effectively address the complex final exam scheduling challenges encountered at Cornell University. With high flexibility, the framework is specifically tailored to accommodate a variety of different constraints, inc...

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Veröffentlicht in:	arXiv.org 2024-09
Hauptverfasser:	Ye, Tinghan, Jovine, Adam, Willem van Osselaer, Zhu, Qihan, Shmoys, David
Format:	Artikel
Sprache:	eng
Schlagworte:	Heuristic methods Integer programming Schedules Scheduling Time measurement
Online-Zugang:	Volltext
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