Project: Mixed-Integer Non-Linear Optimisation A...
Master data
| Mixed-Integer Non-Linear Optimisation Applications | |
| Description: | 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) project 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). |
| Keywords: | mixed-integer nonlinear optimization, applications (energy, analytics, ...), exact algorithms, approximation, reformulation, decomposition, optimization under uncertainty, discrete optimal control |
| Short title: | MINOA |
| Period: | 01.01.2018 - 31.12.2022 |
| Contact e-mail: | - |
| Homepage: | https://minoa-itn.fau.de/ |
Employees
| Employees | Role | Time period |
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| Angelika Wiegele (internal) |
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| Franz Rendl (internal) |
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| Shudian Zhao (internal) |
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| Jan Schwiddessen (internal) |
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Assignment
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Fakultät für Technische Wissenschaften
Institut für Mathematik
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Categorisation
| Project type | Research funding (on request / by call for proposals) |
| Funding type | §27 |
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| Research Cluster | No research Research Cluster selected |
| Gender aspects | 0% |
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Classification raster of the assigned organisational units:
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Funding
| Funding program | |||
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Marie Skłodowska-Curie actions
Organisation: European Commission |
Cooperations
| Organisation | Address | ||
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Stichting Centrum voor Wiskunde en Informatica
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NL - 1090 GB Amsterdam |
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COMPAGNIE IBM FRANCE SA
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FR - 92275 BOIS COLOMBES |
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Friedrich-Alexander-Universität Erlangen-Nürnberg
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DE - 91054 Erlangen |
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Consiglio Nazionale delle Ricerche
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IT - 00185 Roma |
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Centre National de la Recherche Scientifique (CNRS)
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FR - 91128 Palaiseau |
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University of Bologna
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IT - 40126 Bologna |
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UTIL University of Tilburg
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NL
Tilburg |
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UNIVERSITAET ZU KOELN
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DE - 50923 Köln |
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MAIOR Management Artificial Intelligence Operations Research
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IT
- 55100
Lucca |
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Technische Universität Dortmund
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DE - 44227 Dortmund |
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RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG
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DE - 69117 Heidelberg |
Research activities
| Projects | No related projects |
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