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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.

  Objectives:
  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.

  Content:
  The course among others includes topics on multiobjective linear programming, differentiable vector optimality conditions, sensitivity analysis, different a priori and a posteriory methods etc.

  Teaching methods:
  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.

  Study materials:
  K. Miettinen "Nonlinear Multiobjective Optimization" + M. Ehrgott "Multicriteria Optimization" + J. Jahn "Vector Optimization. Theory, Applications, and Extensions" + Handouts