Event overview
Evolutionary Image Transition Using Random Walks, Box and Strip Mutation
Evolutionary algorithms have been used in many ways to generate digital art. We study how the evolutionary processes can be used for evolutionary art and present a new approach to the transition of images.
Our main idea is to define evolutionary processes for digital image transition, combining different variants of mutation, random walks and evolutionary mechanisms. We introduce box and strip mutation operators which are specifically designed for image transition. Our experimental results show that the process of an evolutionary algorithm in combination with these mutation operators can be used as a valuable way to produce unique generative art.
Bio-sketch: Aneta graduated from the University of Kiel, Germany (Dipl.Inf) in Computer Science and is currently undertaking postgraduate research at the School of Computer Science, The University of Adelaide. Her main research interest is understanding the fundamental link between Evolutionary Algorithms and Generative Art.
Dates & times
| Date | Time | Add to calendar |
|---|---|---|
| 12 Dec 2016 | 3:00pm - 4:00pm |
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