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Evolutionary algorithms

Individual course

In the last 20 years, the growth in interest in stochastic search methods for optimisation has been quite dramatic. Having once been something of a daydream in the field of optimisation, evolutionary algorithms have now attained considerable respect and are extremely popular. They have proven to be good alternatives to the traditional deterministic optimisation methods in many challenging real-life problems. The wide field of different types of applications as well as the relative simplicity of implementation renders them as really attractive choices for optimisation purposes.

The tentative topics to be covered are:

  • Genetic algorithms
  • Differential evolutionary
  • Genetic programming
  • Other evolutionary based search methods
  • Multi-objective optimisation using EAs

More information in Åbo Akademi’s course page.

Responsible teacher

Åbo Akademi
Frank Pettersson
frank.pettersson(at)abo.fi

Contact person for applications

FITech
Pilvi Lempiäinen , Service designer
pilvi.lempiainen(at)fitech.io
Start the application process
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Category:
Technical studies
Topic:
Industrial engineering and management
Course code:
424511.0
Credits:
5 ECTS
Teaching period:
11.2.–4.6.2020
Application deadline:
14.2.2020
Host university:
Åbo Akademi University
Study is open for:
Adult learner,
Degree student
Level of studies:
Master
Teaching methods:
Online
Language:
English
General prerequisites:
Basic knowledge in any programming language (e.g. Matlab, Pascal, C, Fortran) is required.
Study suitable for:
Master's level students interested in the topics