Due to the Covid-19 situation, the workshop is postponed until summer 2021. More information will follow.
Mixed-integer nonlinear optimisation (MINLP) combines the modelling capabilities of mixed-integer linear programming with nonlinear programming into a flexible framework for dealing with a large variety of optimisation problems.
The MINLP Workshop brings together world-leading researcher in the field of mixed-integer nonlinear optimisation, and covers topics ranging from theoretical and algorithmic advances to industrial applications. The workshop is held at the South Kensington Campus at Imperial College right in the centre of London.
The workshop covers all aspects of MINLP optimisation and its applications, including:
- Algorithm and solver design
- Applications in various fields
- Convex and nonconvex MINLP
- Optimisation theory
- Deterministic and heuristic algorithms
Talks will be given in two parallel session by a mixture of invited and contributed talks. If you have questions, please contact email@example.com
- Akshay Gupte (University of Edinburgh)
- Andrea Lodi (École Polytechnique de Montréal)
- Andreas Lundell (Åbo Akademi University)
- Angelika Wiegele (Alpen-Adria-Universität Klagenfurt)
- Antonio Sudoso (University of Rome Tor Vergata)
- Ashutosh Mahajan (IIT Bombay)
- Claudia D’Ambrosio (École Polytechnique)
- Coralia Cartis (University of Oxford)
- Dan Bienstock (Columbia University)
- David Bernal (Carnegie Mellon University)
- Emily Speakman (University of Colorado Denver)
- Fatma Kilinç-Karzan (Carnegie Mellon University)
- Felipe Serrano (Zuse Institute Berlin)
- Gabriele Eichfelder (TU Ilmenau)
- Gonzalo Munoz (Universidad de O’Higgins)
- Harsha Nagarajan (Los Alamos National Laboratory)
- Hassan Hijazi (Los Alamos National Laboratory)
- Henrik Friberg (MOSEK)
- Ignacio Grossmann (Carnegie Mellon University)
- Inês Cecílio (Schlumberger)
- Ivo Nowak (HAW Hamburg)
- Jeff Linderoth (University of Wisconsin-Madison)
- Jon Lee (University of Michigan)
- Ksenia Bestuzheva (Zuse Institute Berlin)
- Lars Schewe (University of Edinburgh)
- Laura Galli (University of Pisa)
- Leo Liberti (École Polytechnique)
- Martina Kuchlbauer (University of Erlangen-Nuremberg)
- Maximilian Merkert (OVGU Magdeburg)
- Nick Sahinidis (Carnegie Mellon University)
- Qi Zhang (University of Minnesota)
- Santanu Dey (Georgia Institute of Technology)
- Sophie Demassey (Mines ParisTech)
- Sourour Elloumi (ENSTA Paris)
- Stefan Vigerske (GAMS Software GmbH)
- Stefano Coniglio (University of Southampton)
- Sven Leyffer (Argonne National Laboratory)
- Thomas Kleinert (University of Erlangen-Nuremberg)
- Tobias Achterberg (Gurobi Optimization)
- Zsolt Csizmadia (FICO)
Submit an abstract
Submit an abstract to give a poster presentation.
Contributed talks will be selected based from the submitted abstracts. There may be up to 20 slots available for contributed talks. In the registration you can select the preferred presentation form (oral or poster), but keep in mind the limited number of oral presentations. Some of the accepted presentations may be, therefore, be assigned a poster presentation, despite the preference. However, there will also be poster awards.
The abstracts are limited to 300 words, and should contain a brief summary of the work you wish to present.
The abstract submission has closed, but it is still possible to register to attend the event.
The submission deadline is December 16.
Workshop registration will open in November and the deadline for registration will be in March 2020. The registration is free.
The workshop starts with registration on June 11 at 8 am. We start the conference by a short welcome speech at 8:40 am, where we also give some practical information.
The presentations will start at 9:00 am on both days, and the talks go on until 5:30 pm. The talks are given in two parallel sessions.
On June 11, we have a Poster session & reception starting at 6:00 pm. The posters will be on display and we will be served finger food and drinks.
On the evening before the workshop (June 10), we will arrange some sort of get together. More details will follow later.
There is a variety of hotels close to Imperial College, and the college is on walking distance from two tube stations. All participants should book hotels or other accommodation on their own. Hotels can be booked through https://www.imperial.ac.uk/visitors-accommodation/local-hotels/
The best way to get to Imperial College is using the London Underground, and the closes stops are South Kensington station and Gloucester Road station. Trains coming to these stations are District line, Central line, and Piccadilly line (we recommend getting a hotel close to a tube station along one of these lines).
The Workshop is sponsored by FICO, GAMS, GUROBI, IBM, LocalSolver, MathWorks, MOSEK, The Optimization Firm, and Quantitative Sciences Research Institute (QSRI) at Imperial College London.
Find out more about our sponsors by following the links below:
- Miguel Anjos
- Pietro Belotti
- David Ham
- Jan Kronqvist
- Ruth Misener