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Academic and Industrial Challenges

The goal of this course is to provide the bridge between the basic optimization methods seen in class - this one or others - and the state-of-the-art algorithms used to get the best possible solutions. In this course, students work in small groups on a chosen optimization problem. This problem might come from an ongoing or a past optimization competition, or be an optimization problem from the literature. The goal is to design and implement the best possible algorithms for the chosen problem and match the best known results. Ideas might be taken from the literature on the chosen problem or similar ones.

This course highlights mathematical and algorithmic aspects, as well as programming aspects (good practice to develop optimization codes, writing efficient code).

Programming language: C++

Evaluation: group project

Coordinator: Florian Fontan