| Abstract |
Evolutionary art is a relatively new field of research that utilises methods and techniques from Evolutionary Computation (EC) to create aethetically pleasing images (or 'art'). My PhD research focuses on unsupervised evolutionary art, i.e. without the use of human evaluation. In my presentation I will show a number of so-called `aesthetic measures' (that I use as fitness functions). Furthermore I will shortly mention the application of Multi-Objective Optimization (MOO) in Evolutionary Art, and the role of representation in evolutionary art.
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