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Optimization methods for engineers
Ausgewählte Optimierungsverfahren für Ingenieure
Last Updated: 2026-02-05 15:06:56
Abstract
1st half of the semester: Introduction to the main methods of numerical optimization with focus on stochastic methods such as genetic algorithms, evolutionary strategies, etc. 2nd half of the semester: Each participant implements a selected optimizer and applies it on a problem of practical interest.
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.
Resources
Lecture Notes
PDF file seehttp://alphard.ethz.ch/hafner/Vorles/lect.htm
General Information
- Language
- German
- Levels
- DS , MSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 30 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Ausgewählte Optimierungsverfahren für Ingenieure |
|
2 h weekly |
Offered In
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Application Area (only necessary for MSc in Applied Mathematics)
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