EUROPT 2021, the 18th international workshop on continuous optimization will take place in Toulouse, France.
The workshop is the annual event of the EUROPT continuous optimization working group of EURO (The Association of European Operational Research Societies).
It will be hosted at ENAC (Ecole Nationale de l’Aviation Civile), the french National School of Civil Aviation.
The call for papers in the EUROPT 2021 special issue has been published.
The deadline for submission has been extended to April 15, 2022.
You will find all submission information on the dedicated OMS journal page HERE.
- The latest and updated version of the PROGRAM is online.
- Online access information is provided in a EUROPT 2021 quick guide.
- Social event information has been updated (see HERE), see for example:
- 20 years of EUROPT retrospective
- access to daily forum tiny math challenge questions
We wish you a nice and exciting conference !
The EUROPT 2021 scientific program is now available here.
EUROPT 2021 Workshop on Advances in Continuous Optimization has previously been announced to be held in a hybrid on-site/remote format. It has appeared however that a large majority of participants cannot join in presence in Toulouse, as a consequence of the COVID 19-related situation.
We therefore decided that EUROPT 2021 will be held in a fully virtual format.
Despite the format change, the event still promises to be a not-to-miss opportunity for stimulating (virtual) discussions on the latest developments in continuous optimization!
As an additional news about the conference, we are pleased to announce that, thanks to our sponsors, we are now able to let attendance be free of charge.
We are looking forward to welcoming you at EUROPT 2021!
The scope of the workshop includes (but may not be restricted to) the following topics :
Linear and nonlinear optimization
Multi- and many-objective optimization
Mixed integer nonlinear optimization
Optimization under uncertainty and applications
Complementarity and variational problems
Optimal control and applications
Conic and semidefinite optimization
Optimization in industry, business and finance
Complexity and efficiency of optimization algorithms
Analysis and engineering of optimization algorithms
Convex and non-smooth optimization
Data driven optimization
Nature inspired methods and algorithms
Optimization for learning and data analysis
Artificial intelligence based optimization methods and applications