Industrial Optimisation Methods

5 credits

Course, Master's level, 1TS307

Spring 2024 Spring 2024, Uppsala, 33%, On-campus, English Only available as part of a programme

Spring 2024 Spring 2024, Uppsala, 33%, On-campus, English For exchange students

Spring 2025 Spring 2025, Uppsala, 33%, On-campus, English Only available as part of a programme

Spring 2025 Spring 2025, Uppsala, 33%, On-campus, English For exchange students

About the course

The course provides knowledge about conventional optimisation approaches. The course covers exact and approximate optimisation methods and their applications for solving real-life problems. Specific focus will be given to formulating industrial problems as (non-) linear mathematical optimisation models and solving these models using existing software tools. The use and importance of meta-heuristic algorithms for solving complex problems will also be discussed in this course.

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