A machine learning approach for predicting the best heuristic for a large scaled Capacitated Lotsizing Problem

For some NP-hard lotsizing problems, many different heuristics exist, but they have different solution qualities and computation times depending on the characteristics of the instance. The computation times of the individual heuristics increase significantly with the problem size, so that testing al...

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Vydané v:	OR Spectrum Ročník 47; číslo 3; s. 889 - 931
Hlavní autori:	Kärcher, Jens, Meyr, Herbert
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin, Heidelberg Springer 01.09.2025 Springer Nature B.V
Predmet:	Algorithm selection problem Algorithms Capacitated lotsizing problem Classification Computation Forecasting Heuristic Heuristics Literature reviews Machine learning Mixed-integer linear programming Neural network Neural networks Optimization Production lines Scheduling
ISSN:	1436-6304, 0171-6468, 1436-6304
On-line prístup:	Získať plný text
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