Mixed-Integer Non-Linear Optimisation: Algorithms and Applications

Drittmittelfinanzierte Gruppenförderung - Gesamtprojekt


Details zum Projekt

Projektleiter/in:
Prof. Dr. Frauke Liers-Bergmann


Beteiligte FAU-Organisationseinheiten:
Professur für Angewandte Mathematik (Ganzzahlige und robuste Optimierung)

Mittelgeber: Europäische Union (EU)
Akronym: MINOA
Projektstart: 01.01.2018
Projektende: 31.12.2021


Forschungsbereiche

Mixed Integer Programming
Lehrstuhl für Angewandte Mathematik (Gemischt-ganzzahlige lineare und nichtlineare Optimierung) Professur für Angewandte Mathematik (Ganzzahlige und robuste Optimierung)
Energy
Lehrstuhl für Angewandte Mathematik (Gemischt-ganzzahlige lineare und nichtlineare Optimierung) Professur für Angewandte Mathematik (Ganzzahlige und robuste Optimierung)


Abstract (fachliche Beschreibung):

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).


Externe Partner

Consiglio Nazionale delle Ricerche (CNR)
CNRS - Centre national de la recherche scientifique
Centrum Wiskunde & Informatica (CWI)
IBM France
Technische Universität Dortmund
Ruprecht-Karls-Universität Heidelberg
University of Bologna / Università di Bologna
Alpen-Adria-Universität Klagenfurt
Tilburg University
Universität zu Köln
Company Overview of Management, Artificial Intelligence And Operations Research Societa' A Responsabilita' Limitata

Zuletzt aktualisiert 2019-27-03 um 10:18