EVENT

JFLI seminar by Prof. Codognet

We are pleased to inform you about the upcoming seminar by Prof. Codognet, Everyone interested is cordially invited to attend!

Title:

New Trends in Solving Mixed-Integer Non-Linear Programming Problems: Learning-Based Approaches

Speaker:

Claudia D'Ambrosio, LIX Laboratory (CNRS / Ecole Polytechnique), Paris, France

Abstract:

Mixed-Integer Non-Linear Programming (MINLP) remains a computational bottleneck for many real-world applications arising in several fields. In this talk, we first review traditional exact methods for solving MINLP and their computational limitations on medium- to large-scale problems. We then explore recent advances in approximation techniques that leverage machine learning methods to construct surrogate models, enabling high-quality heuristic solutions with reduced computational effort. Building on these ideas, we introduce a novel methodology grounded in statistical learning theory for adaptive surrogate modeling, designed to balance approximation accuracy with tractability. We conclude with a computational comparison of these learning-based approaches, highlighting their strengths, limitations, and practical implications for tackling large-scale MINLPs in industries like energy and hydraulic engineering.

Time/Date:

11:00-12:00 /Wednesday, July 22, 2026

Place:

Room 1903, NII

Contact:

If you would like to join, please contact by email.
Email : megkaneko[at]nii.ac.jp

Link:

Japanese-French Laboratory for Informatics