Vector Optimization ( 2011-2012 Autumn )
- Organisation: UTU / Dept. of Mathematics
- Credit Points: 5
- Schedule: Period I.
- Responsible Person: Yury Nikulin, Department of Mathematics
Course code: SMAT5059.
This course provides a short introduction to the theory and methodology of linear and nonlinear multiobjective optimization.Together with various basic facts and concepts, a consistent summary of some advanced techniques and theoretical results is provided.
The course among others includes topics on multiobjective linear programming, differentiable vector optimality conditions, sensitivity analysis, different a priori and a posteriory methods etc.
Lectures 28 h, Exercises 12 h.
Modes of study:
Weekly Exercises + written exam. Evaluation 1-5.
Recommended previous studies:
SMAT5108 Mathematical Optimization I, SMAT5109 Mathematical Optimization II.
K. Miettinen "Nonlinear Multiobjective Optimization" + M. Ehrgott "Multicriteria Optimization" + J. Jahn "Vector Optimization. Theory, Applications, and Extensions" + Handouts