MINO

Mixed-Integer Nonlinear Optimization

 Coordinatore ALMA MATER STUDIORUM-UNIVERSITA DI BOLOGNA 

 Organization address address: Via Zamboni 33
city: BOLOGNA
postcode: 40126

contact info
Titolo: Prof.
Nome: Andrea
Cognome: Lodi
Email: send email
Telefono: +39 051 2093029
Fax: +39 051 2093073

 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

# participant  country  role  EC contrib. [€] 
1    ALMA MATER STUDIORUM-UNIVERSITA DI BOLOGNA

 Organization address address: Via Zamboni 33
city: BOLOGNA
postcode: 40126

contact info
Titolo: Prof.
Nome: Andrea
Cognome: Lodi
Email: send email
Telefono: +39 051 2093029
Fax: +39 051 2093073

IT (BOLOGNA) coordinator 399˙136.80
2    ECOLE POLYTECHNIQUE

 Organization address address: ROUTE DE SACLAY
city: PALAISEAU
postcode: 91128

contact info
Titolo: Prof.
Nome: Leo
Cognome: Liberti
Email: send email
Telefono: 33660691151

FR (PALAISEAU) participant 274˙318.66
3    EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH

 Organization address address: Raemistrasse 101
city: ZUERICH
postcode: 8092

contact info
Titolo: Prof.
Nome: Robert
Cognome: Weismantel
Email: send email
Telefono: +41 44 632 4815
Fax: +41 44 632 1025

CH (ZUERICH) participant 264˙456.94
4    CONSIGLIO NAZIONALE DELLE RICERCHE

 Organization address address: Piazzale Aldo Moro 7
city: ROMA
postcode: 185

contact info
Titolo: Dr.
Nome: Claudio
Cognome: Gentile
Email: send email
Telefono: +39 06 7716432
Fax: +39 06 7716461

IT (ROMA) participant 259˙207.95
5    UNIVERSITAET KLAGENFURT

 Organization address address: UNIVERSITAETSSTRASSE 65-67
city: KLAGENFURT
postcode: 9020

contact info
Titolo: Mr.
Nome: Franz
Cognome: Rendl
Email: send email
Telefono: 4346330000000

AT (KLAGENFURT) participant 258˙571.72
6    STICHTING CENTRUM VOOR WISKUNDE EN INFORMATICA

 Organization address address: Science Park 123
city: AMSTERDAM
postcode: 1098XG

contact info
Titolo: Prof.
Nome: Monique
Cognome: Laurent
Email: send email
Telefono: +31 20 592 4105

NL (AMSTERDAM) participant 255˙231.45
7    STICHTING KATHOLIEKE UNIVERSITEIT BRABANT UNIVERSITEIT VAN TILBURG

 Organization address address: Warandelaan 2
city: TILBURG
postcode: 5037 AB

contact info
Titolo: Ms.
Nome: Marjoleine
Cognome: De Wit
Email: send email
Telefono: +31 13 466 3266
Fax: +31 13 466 3066

NL (TILBURG) participant 255˙231.45
8    UNIVERSITE CATHOLIQUE DE LOUVAIN

 Organization address address: Place De L'Universite 1
city: LOUVAIN LA NEUVE
postcode: 1348

contact info
Titolo: Prof.
Nome: Mathieu
Cognome: Van Vyve
Email: send email
Telefono: 3210478161
Fax: 3210474301

BE (LOUVAIN LA NEUVE) participant 248˙710.00
9    RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG

 Organization address address: SEMINARSTRASSE 2
city: HEIDELBERG
postcode: 69117

contact info
Titolo: Prof.
Nome: Gerhard
Cognome: Reinelt
Email: send email
Telefono: +49 6221 545748

DE (HEIDELBERG) participant 240˙438.88
10    TECHNISCHE UNIVERSITAT DORTMUND

 Organization address address: AUGUST SCHMIDT STRASSE 4
city: DORTMUND
postcode: 44227

contact info
Titolo: Mr.
Nome: Michael
Cognome: Lohmeier
Email: send email
Telefono: +49 231 755 2448
Fax: +49 231 755 2756

DE (DORTMUND) participant 240˙438.88
11    UNIVERSITAET ZU KOELN

 Organization address address: ALBERTUS MAGNUS PLATZ
city: KOELN
postcode: 50923

contact info
Titolo: Mr.
Nome: Rüdiger
Cognome: Berg
Email: send email
Telefono: +49 221 4705497

DE (KOELN) participant 240˙438.88
12    "MANAGEMENT, ARTIFICIAL INTELLIGENCE AND OPERATIONS RESEARCH SOCIETA' A RESPONSABILITA' LIMITATA"

 Organization address address: VIA SAN DONATO 512
city: LUCCA
postcode: 55100

contact info
Titolo: Ms.
Nome: Daniela
Cognome: Menchini
Email: send email
Telefono: +39 0583 419441

IT (LUCCA) participant 168˙576.44
13    IBM ITALIA SPA*

 Organization address address: Circonvallazione Idroscalo SNC
city: Segrate (MI)
postcode: 20090

contact info
Titolo: Dr.
Nome: Andrea
Cognome: Abbà
Email: send email
Telefono: 390260000000

IT (Segrate (MI)) participant 168˙576.44
14    ORTEC LOGISTICS HOLDING BV

 Organization address address: GRONINGENWEG 6 K
city: GOUDA
postcode: 2803 PV

contact info
Titolo: Mr.
Nome: Stefan
Cognome: Schuurman
Email: send email
Telefono: 31182540500

NL (GOUDA) participant 165˙742.56

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

mathematical    linear    decision    mixed    lack    leads    world    real    training    optimization    nonlinear    milo    variables    enterprises    mino    academia    integer   

 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.'

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