Optimization problems are everywhere — from designing the optimal material composition for solar cells, to determining the right radiation dose in cancer treatment, to planning the most efficient train schedules.
However, while general optimization algorithms can usually provide working solutions, in practice the approach is usually refined for the specific problem at hand. This adaptation is a tedious and costly process, which begs the question: Can we systematize algorithm tailoring? Or even make some parts automatic?
During the Wrap-up meeting, we will synthesize the insights collected throughout the semester on tailoring optimization algorithms to real-world problems. The goal is to consolidate these insights into a structured and accessible resource that captures practical guidelines, common pitfalls, and recurring patterns in algorithm tailoring. In addition, the meeting will address a key challenge identified during the programme: the social and structural barriers between academic researchers and practitioners in industry.
Costs and Registration
The costs are €30for the full event.
This event is invite-only. Invitees will receive a registration link.
Programme Overview
📅 21 May January: Wrap-up Day 1
- Summarize information, ensure long-term maintenance and plan next steps.
📅 22 May January: Wrap-up Day 2
- Summarize information, ensure long-term maintenance and plan next steps.
More details will follow
