Zeitschrift

OR Spectrum

Ausgabe 3/2021

Special Issue on Machine Learning and Combinatorial Optimization

Inhaltsverzeichnis (9 Artikel)

28.06.2021 | EDITORIAL

Machine learning and combinatorial optimization, editorial

Gianni A. Di Caro, Vittorio Maniezzo, Roberto Montemanni, Matteo Salani

01.09.2020 | Regular Article

Generalization of machine learning for problem reduction: a case study on travelling salesman problems

Yuan Sun, Andreas Ernst, Xiaodong Li, Jake Weiner

17.06.2020 | Regular Article

A novel solution approach with ML-based pseudo-cuts for the Flight and Maintenance Planning problem

Franco Peschiera, Robert Dell, Johannes Royset, Alain Haït, Nicolas Dupin, Olga Battaïa

Open Access 28.05.2021 | Original Article

An analytics-based heuristic decomposition of a bilevel multiple-follower cutting stock problem

Adejuyigbe O. Fajemisin, Laura Climent, Steven D. Prestwich

PDF-Version jetzt herunterladen Zum Volltext

Open Access 30.01.2021 | Regular Article

A machine learning-based branch and price algorithm for a sampled vehicle routing problem

Nikolaus Furian, Michael O’Sullivan, Cameron Walker, Eranda Çela

PDF-Version jetzt herunterladen Zum Volltext

08.06.2021 | Original Article

Mathematical optimization for time series decomposition

Seyma Gozuyilmaz, O. Erhun Kundakcioglu

15.01.2021 | Regular Article

Estimation of a logistic regression model by a genetic algorithm to predict pipe failures in sewer networks

Alicia Robles-Velasco, Pablo Cortés, Jesús Muñuzuri, Luis Onieva

25.02.2021 | Regular Article

A column-oriented optimization approach for the generation of correlated random vectors

Jorge A. Sefair, Oscar Guaje, Andrés L. Medaglia

Open Access 15.04.2021 | Original Article

Leveraged least trimmed absolute deviations

Nathan Sudermann-Merx, Steffen Rebennack

PDF-Version jetzt herunterladen Zum Volltext

Springer Professional

OR Spectrum

Ausgabe 3/2021

Special Issue on Machine Learning and Combinatorial Optimization

Inhaltsverzeichnis (9 Artikel)

Machine learning and combinatorial optimization, editorial

Generalization of machine learning for problem reduction: a case study on travelling salesman problems

A novel solution approach with ML-based pseudo-cuts for the Flight and Maintenance Planning problem

An analytics-based heuristic decomposition of a bilevel multiple-follower cutting stock problem

A machine learning-based branch and price algorithm for a sampled vehicle routing problem

Mathematical optimization for time series decomposition

Estimation of a logistic regression model by a genetic algorithm to predict pipe failures in sewer networks

A column-oriented optimization approach for the generation of correlated random vectors

Leveraged least trimmed absolute deviations

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