1. Evolutionary Art (What we did on our holidays) David Broadhurst Dan Costelloe Lynne Jones Pantelis Nasikas Joanne Walker

2. Introduction Project aims –Develop some “nice” art –Use Genetic Algorithms to evolve art –Analyse the human-computer interface

3. Our Tools Graphical User Interface written in java Genetic Algorithm Engine Evolvable.gif images

4. Objectives Primary objective: “nice” art Secondary objective: modify GA engine

5. Art Requirements Needs to be simple yet attractive Evolvable – through parameters Written in simple java for easy integration

6. Art Used Kaleidoscope applet –Simple shapes & bright colours –Use of reflections and symmetry add interest –Animation gives extra dimension –Small simple java applet (Demo)

7. Chromosome Design Existing code used integer array Our parameters: –Shape type (line / rectangle / circle / mix) –Colour of shapes (10 x 255 colour palette) –Background colour –Symmetry style (horizontal / vertical / diagonal / mix)

8. Experimentation Considered mutation rate and crossover type Attempted to evolve a population of solutions without circles Recorded speed of convergence

9. Mutation Guassian mutation Probability varied between 0 and 1 As rate increased more generations were required Convergence of other parameters increased as mutation rate decreased

10. Crossover Considered three types: –Single point –Random N point –Uniform Similar results obtained for each

11. Demo

12. Human Computer Interface Current layout is easy to use Can be time consuming after a few generations Tournament style selection may be an improvement

13. Conclusions Future work –Implement other evolutionary algorithms –Addition of visual effects on the animations –Revision of Human Machine Interface

14. Thanks to…. Ben Gusz Bart (dude) Andrew