Conferences  >  Mathematics  >  Optimization Theory, Operational Research  >  Germany

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Geometry and Topology,    Neural Networks and Artificial Intelligence, Machine Learning

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Research in Bayesian optimisation spans multiple domains, including Machine Learning, Statistics, Engineering, and Operational Research. This makes it a multi-disciplinary field that benefits from a wide range of perspectives and methodologies, but also means the community is dispersed. As a result, there is a need for a forum where researchers from different disciplines can share insights, compare approaches, and collaborate on standardizing tools and benchmarks.

Neural Networks and Artificial Intelligence, Machine Learning,    Algorithms and Data Structures

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Voronoi diagrams are fundamental geometric structures that divide space into regions based on proximity to points or sites. They play an important role in many fields of science and have become cornerstones of disciplines such as computational geometry, scientific computing, and optimization.

Modeling and Simulation,    Scientific Computing and Data Science

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

The seminar seeks to identify the most pressing needs for quantifying uncertainty in MO problems that arise in industry, along with the most promising theoretical and methodological developments that will lead to efficient algorithms for addressing the identified needs. Toward this end, the seminar aims to bring together academic and industry experts as well as early-career researchers from different research disciplines, including Evolutionary Multiobjective Optimization, Multiple Criteria Decision Making, and Stochastic/Simulation Optimization, to discuss and propose novel ideas related to modeling, theory, and novel applications of MO under uncertainty.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

The purpose of this Dagstuhl Seminar is to audit the current experience that exists in the field, pool it, and start to describe that experience in a way that goes beyond anecdote (although anecdotes can be useful) and moves us toward advice or recipes that actually work in practice.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Recent breakthroughs in autonomy, electrification, and shared mobility are transforming transportation by opening new avenues for integrated, multi-modal transit systems with potential to benefit society as a whole. This five-day Dagstuhl Seminar aims to bring together experts from computer science, operations research, engineering, social sciences, and public policy to tackle both the theoretical and practical challenges at the intersection of data-driven transit planning, algorithm design, and real-world implementation.