TIES598 Nonlinear Multiobjective Optimization (5 cr)
Optimization is needed in different application fields and typically there are several conflicting objectives to be optimized simultaneously. Multiobjective optimization methods are then needed to support the decision maker in finding the best compromise solution.
TIES598 Nonlinear multiobjective optimization is a master level course in mathematical information technology ( tietotekniikka in Finnish) where the emphasis is on solving nonlinear multiobjective optimization problems. The course is compulsory in the thematic module on decision analytics and it is suitable e.g. as an optional course of the MSc in computational sciences. The course deals with topics ranging from theory to various optimization methods and software. In addition, there will be examples of solving practical optimization problems and what kind of challenges they pose. The course takes the students to the edge of the current knowledge in multiobjective optimization and, during the course, students will familiarize themselves with novel methods proposed in recent scientific publications. In addition, visualization of solutions and various applications of data driven decision support are considered.
The course does not include an exam, but the students are graded based on the assignments and their active participation in lectures and group discussions.
Description of prerequisites
- Miettinen, K., 1999, Nonlinear Multiobjective Optimization, Kluwer Academic Publishers; ISBN: 0-7923-8278-1