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Logo Institut für Konstruktionstechnik der TU Braunschweig

Bionic Methods of Optimization and Information Processing

Objectives of the course

The two-hour lecture Bionic methods of optimization and information processing is aimed at students of engineering and nature sciences, computer science, and other disciplines. The lecture will be an introduction in the fields of bionic, an overview of the numeric optimization methods and other information processes derived from nature like mutation-selection-principle, the cool down of melted materials, the information processing in the brain of primates, and the behavior of individuals and groups. Based on the biological principles, the application to calculation methods is explained and their application is demonstrated through examples.

Content

  • Bionic as a Science
  • Social systems, agents, swarms
  • The biological principle of evolution
  • Conventional optimization methods
  • Bionic optimization methods
  • Neural Networks

Latest information

More information for the procedure can be found on the StudIP event website.

StudIP – Lecture

StudIP – Tutorial

Dates

The teaching event takes place in the winter semester.

Lecture

The students will learn in the lecture the foundation to achieve the qualification goals. Theoretical content gets conveyed through examples taken out of recent research projects and experiences from the industry.

Tutorial

In the tutorial - accompanying the lecture – the students will deepen their knowledge in selected subject areas with concrete examples.

Documents, downloads and video recordings

If not discussed differently in the lecture, all documents will be provided for download on StudIP. The video recordings for the lecture (and tutorial) will be provided on StudIP, if available.

Excursion

As part of the teaching event, an excursion is offered to visit Volkswagen. The date will be announced in the lecture.

Office hours and Notes

Please discuss regular office hours with your supervisor directly.

Examination Modalities

written (90 min) or oral exam (30 min)

Lecturer

apl. Prof. Dr.-Ing. Habil. Joachim K. Axmann
j.axmann(at)tu-braunschweig.de
Profil

Contact person

Tom Hoppe
tom.hoppe(at)tu-braunschweig.de
Profil
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Technische Universität Braunschweig
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38106 Braunschweig

P. O. Box: 38092 Braunschweig
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Phone: +49 (0) 531 391-0

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