CORDIS
EU research results

CORDIS

English EN

Mixed-Integer Non-Linear Optimisation Applications

Objective

Building upon the achievements of the Marie-Curie ITN Mixed-Integer Non-Linear Optimization (MINO) (2012 - 2016), the goal of the Mixed-Integer Non-Linear Optimisation Applications (MINOA) proposal is to train the next generation of highly qualified researchers and managers in applied mathematics, operations research and computer science that are able to face the modern imperative challenges of European and international relevance in areas such as energy, logistics, engineering, natural sciences, and data analytics. Twelve Early-Stage Researchers (ESRs) will be trained through an innovative training programme based on individual research projects motivated by these applications that due to their high complexity will stimulate new developments in the field. The mathematical challenges can neither be met by using a single optimisation method alone, nor isolated by single academic partners. Instead, MINOA aims at building bridges between different mathematical methodologies and at creating novel and effective algorithmic enhancements. As special challenges, the ESRs will work on dynamic aspects and optimisation in real time, optimisation under uncertainty, multilevel optimization and non-commutativity in quantum computing. The ESRs will devise new effective algorithms and computer implementations. They will validate their methods for the applications with respect to metrics that they will define. All ESRs will derive recommendations, both for optimised MINO applications and for the effectiveness of the novel methodologies. These ESRs belong to a new generation of highly-skilled researchers that will strengthen Europe'e human capital base in R&I in the fast growing field of mathematical optimisation. The ESR projects will be pursued in joint supervision between experienced practitioners from leading European industries and leading optimisation experts, covering a wide range of scientific fields (from mathematics to quantum computing and real-world applications).
Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

Coordinator

FRIEDRICH-ALEXANDER-UNIVERSITAET ERLANGEN NUERNBERG

Address

Schlossplatz 4
91054 Erlangen

Germany

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 249 216,48

Participants (12)

Sort alphabetically

Sort by EU Contribution

Expand all

CONSIGLIO NAZIONALE DELLE RICERCHE

Italy

EU Contribution

€ 258 061,32

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS

France

EU Contribution

€ 262 875,60

STICHTING CENTRUM VOOR WISKUNDE EN INFORMATICA

Netherlands

STICHTING NEDERLANDSE WETENSCHAPPELIJK ONDERZOEK INSTITUTEN

Netherlands

EU Contribution

€ 255 374,28

COMPAGNIE IBM FRANCE SA

France

EU Contribution

€ 262 875,60

MANAGEMENT, ARTIFICIAL INTELLIGENCE AND OPERATIONS RESEARCH SOCIETA' A RESPONSABILITA' LIMITATA

Italy

EU Contribution

€ 258 061,32

TECHNISCHE UNIVERSITAT DORTMUND

Germany

EU Contribution

€ 249 216,48

RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG

Germany

EU Contribution

€ 249 216,48

ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA

Italy

EU Contribution

€ 258 061,32

UNIVERSITAET KLAGENFURT

Austria

EU Contribution

€ 255 934,08

STICHTING KATHOLIEKE UNIVERSITEIT BRABANT

Netherlands

EU Contribution

€ 255 374,28

UNIVERSITAET ZU KOELN

Germany

EU Contribution

€ 249 216,48

Partners (7)

Sort alphabetically

Expand all

BAYERISCHE FORSCHUNGSALLIANZ BAVARIAN RESEARCH ALLIANCE GMBH

CRAY COMPUTER GMBH

OPTIT SRL

ORTEC LOGISTICS HOLDING BV

SHELL GLOBAL SOLUTIONS INTERNATIONAL BV

SIEMENS AKTIENGESELLSCHAFT

UNIVERSITA DI PISA

Project information

Grant agreement ID: 764759

Status

Ongoing project

  • Start date

    1 January 2018

  • End date

    31 December 2021

Funded under:

H2020-EU.1.3.1.

  • Overall budget:

    € 3 063 483,72

  • EU contribution

    € 3 063 483,72

Coordinated by:

FRIEDRICH-ALEXANDER-UNIVERSITAET ERLANGEN NUERNBERG

Germany