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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Vydané v:	Omega (Oxford) Ročník 115; s. 102779
Hlavní autori:	Aslan, Ayse, Ursavas, Evrim, Romeijnders, Ward
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.02.2023
Predmet:	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
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