MINO
Mixed-Integer Nonlinear Optimization
| Coordinatore | ALMA MATER STUDIORUM-UNIVERSITA DI BOLOGNA
Organization address
address: Via Zamboni 33 contact info |
| Nazionalità Coordinatore | Italy [IT] |
| Totale costo | 3˙439˙077 € |
| EC contributo | 3˙439˙077 € |
| Programma | FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
| Code Call | FP7-PEOPLE-2012-ITN |
| Funding Scheme | MC-ITN |
| Anno di inizio | 2012 |
| Periodo (anno-mese-giorno) | 2012-10-01 - 2016-09-30 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
ALMA MATER STUDIORUM-UNIVERSITA DI BOLOGNA
Organization address
address: Via Zamboni 33 contact info |
IT (BOLOGNA) | coordinator | 399˙136.80 |
| 2 |
ECOLE POLYTECHNIQUE
Organization address
address: ROUTE DE SACLAY contact info |
FR (PALAISEAU) | participant | 274˙318.66 |
| 3 |
EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH
Organization address
address: Raemistrasse 101 contact info |
CH (ZUERICH) | participant | 264˙456.94 |
| 4 |
CONSIGLIO NAZIONALE DELLE RICERCHE
Organization address
address: Piazzale Aldo Moro 7 contact info |
IT (ROMA) | participant | 259˙207.95 |
| 5 |
UNIVERSITAET KLAGENFURT
Organization address
address: UNIVERSITAETSSTRASSE 65-67 contact info |
AT (KLAGENFURT) | participant | 258˙571.72 |
| 6 |
STICHTING CENTRUM VOOR WISKUNDE EN INFORMATICA
Organization address
address: Science Park 123 contact info |
NL (AMSTERDAM) | participant | 255˙231.45 |
| 7 |
STICHTING KATHOLIEKE UNIVERSITEIT BRABANT UNIVERSITEIT VAN TILBURG
Organization address
address: Warandelaan 2 contact info |
NL (TILBURG) | participant | 255˙231.45 |
| 8 |
UNIVERSITE CATHOLIQUE DE LOUVAIN
Organization address
address: Place De L'Universite 1 contact info |
BE (LOUVAIN LA NEUVE) | participant | 248˙710.00 |
| 9 |
RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG
Organization address
address: SEMINARSTRASSE 2 contact info |
DE (HEIDELBERG) | participant | 240˙438.88 |
| 10 |
TECHNISCHE UNIVERSITAT DORTMUND
Organization address
address: AUGUST SCHMIDT STRASSE 4 contact info |
DE (DORTMUND) | participant | 240˙438.88 |
| 11 |
UNIVERSITAET ZU KOELN
Organization address
address: ALBERTUS MAGNUS PLATZ contact info |
DE (KOELN) | participant | 240˙438.88 |
| 12 |
"MANAGEMENT, ARTIFICIAL INTELLIGENCE AND OPERATIONS RESEARCH SOCIETA' A RESPONSABILITA' LIMITATA"
Organization address
address: VIA SAN DONATO 512 contact info |
IT (LUCCA) | participant | 168˙576.44 |
| 13 |
IBM ITALIA SPA*
Organization address
address: Circonvallazione Idroscalo SNC contact info |
IT (Segrate (MI)) | participant | 168˙576.44 |
| 14 |
ORTEC LOGISTICS HOLDING BV
Organization address
address: GRONINGENWEG 6 K contact info |
NL (GOUDA) | participant | 165˙742.56 |
Mappa
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Obiettivo del progetto (Objective)
'Complex decision making in enterprises should involve mathematical optimization methods, because a “best choice” has to be made out of a huge number of feasible options. A mathematical description of such decision processes typically involves both “continuous” and “discrete” decisions. If the latter are present, the customary modelling approach is to use integer variables, which are also used to represent all possible nonlinearities, so that the remaining part of the model is linear. This leads to Mixed-Integer Linear Optimization (MILO) problems, which can be handled nowadays by many packages, but are often very difficult to solve.
Difficulty of MILO problems is often due to the fact that objective functions or constraints that are structurally nonlinear (e.g., quadratic) are linearized by introducing new integer variables. In many cases, it was observed that this is not the best way to proceed, as facing the nonlinearity directly without the new variables leads to much better results. Algorithmic technology for the resulting Mixed-Integer Nonlinear Optimization (MINO) problems is still at its early stage.
The present situation is that enterprises facing a MINO problem generally give up due to the lack of efficient solvers, or try to convert it to a MILO one often too hard to be solved in practice. On the other hand, in the academia there is now an increasing expertise in MINO, which is however hardly exported outside due to the lack of interaction with the industrial world. It is the purpose of this project to help satisfy the increasing demand for highly qualified researchers receiving, at the same time, a state-of-the-art scientific training from the academia and hands-on experience with real-world applications from the industry.
The researchers formed within this project, once recruited by an enterprise at the end of their training, will have the potential to apply all the available knowledge to optimize complex decision making in the real-world.'