Ausgabe 3/2021
Special Issue on Machine Learning and Combinatorial Optimization
Inhalt (9 Artikel)
EDITORIAL
Machine learning and combinatorial optimization, editorial
Gianni A. Di Caro, Vittorio Maniezzo, Roberto Montemanni, Matteo Salani
Regular Article
Generalization of machine learning for problem reduction: a case study on travelling salesman problems
Yuan Sun, Andreas Ernst, Xiaodong Li, Jake Weiner
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
Original Article
An analytics-based heuristic decomposition of a bilevel multiple-follower cutting stock problem
Adejuyigbe O. Fajemisin, Laura Climent, Steven D. Prestwich
Open Access
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
Original Article
Mathematical optimization for time series decomposition
Seyma Gozuyilmaz, O. Erhun Kundakcioglu
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
Regular Article
A column-oriented optimization approach for the generation of correlated random vectors
Jorge A. Sefair, Oscar Guaje, Andrés L. Medaglia
Open Access
Original Article
Leveraged least trimmed absolute deviations
Nathan Sudermann-Merx, Steffen Rebennack