"Babes-Bolyai" University of Cluj-Napoca
Faculty of Mathematics and Computer Science

Vector Optimization
Code
Semes-
ter
Hours: C+S+L
Credits
Type
Section
MO049
8
2+2+0
7.5
optional
Matematică
MO049
8
2+2+0
7.5
optional
Matematică-Informatică
MO049
8
2+2+0
6
optional
Matematica Economica
Teaching Staff in Charge
Lect. POPOVICI Nicolae, Ph.D., popovici@math.ubbcluj.ro
Aims
The aim of this course is to present some basic concepts and theoretical results of vector optimization and to apply them to the study of certain multicriteria optimization problems.
Content
Convex analysis on partially ordered linear spaces; dual orderings; cone-convex sets; simply- and completely-shaded sets with respect to an ordering cone; cone-convex and cone-quasiconvex vector-valued functions. Vector optimization problems in general setting; concepts of optimality: strong-, weak-, proper-efficiency. Scalarization of vector optimization problems involving cone-convex or cone-quasiconvex objective functions. Necessary and/or sufficient conditions of efficiency for vector optimization problems. Geometrical and topological structure of efficient sets; existence of efficient solutions; connectedness and contractibility of efficient sets; approximation of efficient solutions. Applications to multicriteria optimization; best approximation in vectorial sense.
References
1. HILLERMEIER, C.: Nonlinear multiobjective optimization: a generalized homotopy approach. Birkhauser Verlag, Basel - Boston - Berlin, 2001.

2. JAHN, J.: Mathematical vector optimization in partially ordered linear spaces. Peter Lang Verlag, Frankfurt, 1986.

3. LUC, D.T.: Theory of vector optimization. Springer Verlag, Berlin, 1989.

4. SAWARAGI, Y., NAKAYAMA, H., TANINO, T.: Theory of Multiobjective Optimization. Academic Press, New York, 1985.

5. YU, P.L.: Multiple criteria decision making: concepts, techniques and extensions. Plenum Press, New York - London, 1985.

6. Articole de specialitate.
Assessment
Written and oral examination.