PAPERS & ARTICLES

Pubblicazioni e articoli: il nostro patrimonio scientifico

Le persone di aHead Research sono molto attive sull’ideazione e sviluppo di nuovi algoritmi e nuove applicazioni per algoritmi noti, come dimostrato dalla frequente pubblicazione dei risultati della ricerca finanziata di base o anche derivata da progetti industriali innovativi.
In aHead Research vantiamo inoltre un importante bagaglio di esperienza accademica, con annesse pubblicazioni su peer-reviewd journal.
Qui di seguito l’elenco delle principali pubblicazioni scientifiche prodotte dai membri del nostro team.

Journal of Intelligent Manufacturing
A network flow based heuristic approach for optimising AGV movements
(G. Confessore, M. Fabiano, G. Liotta)

Convolutional neural networks and multi-threshold analysis for contamination detection in the apparel industry
(M. Boresta, T. Colombo, A. De Santis)

International Journal of Information Systems and Supply Chain Management
An Integer Black-Box Optimization Model for Repairable Spare Parts Management
(G. Bernabei, F. Costantino, L. Palagi, R. Patriarca, F. Romito)

Wind Energy
Optimal offering and allocation policies for wind power in energy and reserve markets
(T. Soares, T.V. Jensen, N. Mazzi, P. Pinson, H. Morais)

Hybridization and Discretization Techniques to Speed Up Genetic Algorithm and Solve GENOPT Problems
(F. Romito)

A View of Operations Research Applications in Italy
Design optimization of synchronous reluctance motor for low torque ripple
(A. Credo, A. Cristofari, S. Lucidi, F. Rinaldi, F. Romito, M. Santececca, M. Villani)

Exploiting non-linear transformations of the variables space in derivative-free global optimization
(G. Liuzzi, S. Lucidi, V. Piccialli, F. Romito)

WSC ’18: Proceedings of the 2018 Winter Simulation Conference
A simheuristic algorithm for solving an integrated resource allocation and scheduling problem
(L. Maccarrone, T. Giovannelli, D. Ferone, J. Panadero, A. Juan)

INFORMS Journal on Applied Analytics
Europcar Integrates Forecasting, Simulation, and Optimization Techniques in a Capacity and Revenue Management System
(J. Guillen, P. Ruiz, U. Dellepiane, L. Maccarrone, R. Maccioni, A. Pinzuti, E.Procacci)

An application of support vector machines to sales forecasting under promotions
(G. Pillo, V. Latorre, S. Lucidi, E. Procacci)

IEEE Transactions on Power Systems
Enabling active/passive electricity trading in dual-price balancing markets
(N. Mazzi, A. Trivella, J. M. Morales)

International Joint Conference on Neural Networks (IJCNN)
Maximum length weighted nearest neighbor approach for electricity load forecasting
(T. Colombo, I. Koprinska, M. Panella)

Optimization Letters
A derivative-free optimization approach for the autotuning of a Forex trading strategy
(A. De Santis, U. Dellepiane, S. Lucidi, S. Renzi)

Supervised and unsupervised learning to classify scoliosis and healthy subjects based on non-invasive rasterstereography analysis
(T. Colombo, M. Mangone, A. Bernetti, M. Paoloni, V. Santilli, L. Palagi)

Arxiv Preprint
Mixed Finite Differences Scheme for Gradient Approximation
(M. Boresta, T. Colombo, A. De Santis, S. Lucidi)