A Precedence Constrained Knapsack Problem with Uncertain Item Weights for Personalized Learning Systems

•Studies a novel educational context problem of personalized learning environments.•Presents a new precedence-constrained knapsack model with uncertain item weights.•Provides efficient approximate cutting plane methods with Taylor approximations.•Provides effective pre-processing procedures and cove...

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Veröffentlicht in:	Omega (Oxford) Jg. 115; S. 102779
Hauptverfasser:	Aslan, Ayse, Ursavas, Evrim, Romeijnders, Ward
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.02.2023
Schlagworte:	Chance-constrained Programming Cutting Plane Methods Knapsack Problems OR in Education Personalized Learning Precedence Constraints Precedence Constraints Cutting Plane Methods Knapsack Problems Chance-constrained Programming Personalized Learning OR in Education
ISSN:	0305-0483
Online-Zugang:	Volltext
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