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Bio-Inspired Optimization & Design
Last Updated: 2026-02-05 15:29:51
Abstract
This lecture focuses on the foundations of bio-inspired optimization. The exercises will be oriented towards the implementation of these concepts to design applications.
Objective
You are familiar with the foundations of optimization and with different randomized search algorithms, in particular bio-inspired ones. You will be able to design, implement, and tune basic and advanced bio-inspired optimization techniques for tackling complex, large-scale applications. You will be able to evaluate different search algorithms and implementations. You are aware of the theoretical foundations of bio-inspired optimization, know the limitations as well as potential advantages and disadvantages of specific design concepts.
Content
Biologically-inspired computation is an umbrella term for different computational approaches that are based on principles or models of biological systems. This class of methods such as evolutionary algorithms, ant colony optimization, and swarm intelligence complements traditional techniques in the sense that the former can be applied to large-scale applications where little is known about the underlying problem and where the latter approaches encounter difficulties. Therefore, bio-inspired methods are becoming increasingly important in face of the complexity of today's demanding applications, and accordingly they have been successfully used in various fields ranging from computer engineering and mechanical engineering to chemical engineering and molecular biology. This lecture focuses on the foundations of bio-inspired computation with an emphasis on their application to optimization. The exercises will be oriented towards the implementation of these concepts to realistic applications.
Resources
Lecture Notes
Lecture notes will be provided in the course of the semester.
General Information
- Language
- English
- Levels
- BSC , DR , DS , MSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 15 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Bio-Inspired Optimization & Design |
|
2 h weekly |
| exercise | Bio-Inspired Optimization & Design |
|
1 h weekly |
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Minor Subjects (These courses are recommended, but you are free to choose courses from any other major.)
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