Optimization Methods for Engineers

Objective

Numerical optimization is of increasing importance for the development of devices and for the design of numerical methods. The students shall learn to select, improve, and combine appropriate procedures for efficiently solving practical problems.

Content

Typical optimization problems and their difficulties are outlined. Well-known deterministic search strategies, combinatorical minimization, and evolutionary algorithms are presented and compared. In engineering, optimization problems are often very complex. Therefore, new techniques based on the generalization and combination of known methods are discussed. To illustrate the procedure, various problems of practical interest are presented and solved with differen optimization codes.

Form

2 hours lecture (in German), 3 credits

Lecturer

Ch. Hafner

Further