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 study guide.
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