Structural Analysis of Mathematical Models of Optimization for Location and Transportation Planning

PI: Juan Antonio Mesa López-Colmenar

Abstract: This project, in addition to the line of approach, modelling, analysis and resolution of optimization problems that is needed to fill gaps in knowledge, aims to deepen the understanding of other structural aspects. This will be tackled both from the point of view of intrinsic models (computational complexity, polyhedral analysis, valid inequalities, dimensions, properties, etc.) and from the point of view of computational efficiency (comparative computation times, quality of solutions, etc.) and adequacy of the model to real problems, in which we have extensive experience in railway planning models. Therefore, it not only aims to solve problems, but also to contribute to the existing knowledge through a cross-sectional study among different models, problems and resolution methods.

Source of Funding: Excellence and challenge projects 2015, Ministry of Economy and Competitiveness, Spain

Implied entities: US, UHU, UPM, U. Leeds, Federico II Naples, CIRRELT (Quebec), Göttingen

iMAT research line: RL4. Modeling Transport & Logistics

Researchers:

Juan A. Mesa (US)

Francisco A. Ortega (US)

Antonio J. Lozano (UHU)

Eva Barrena (Leeds)

M. Cruz López-de-los-Mozos (US)

Alicia De-Los-Santos (US,UCO)

Anita Schöbel (Göttingen)

Gilbert Laporte (CIRRELT-U. Montreal)

Mozart Menezes (Kedge Bussiness School, Bordeaux)

Giuseppe Bruno (Federico II, Naples)

Luis Franco (US)

Alejandro Zarzo (UPM)

David Canca (US)

Zhiyuan Lin (U.Leeds)