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  1. Evolution of fractal shapes for artists and designers‏‎ (13:29, 12. Nov. 2014)
  2. New challenges for evolutionary music and art‏‎ (13:35, 12. Nov. 2014)
  3. Partially interactive evolutionary artists‏‎ (22:40, 12. Nov. 2014)
  4. Reference chromosome to overcome user fatigue in iec‏‎ (22:48, 12. Nov. 2014)
  5. Zipf’s law, music classification and aesthetics‏‎ (22:58, 12. Nov. 2014)
  6. Renderbots – multi agent systems for direct image generation‏‎ (23:10, 12. Nov. 2014)
  7. A neuro-genetic hybrid motif generator for genetic art‏‎ (23:21, 12. Nov. 2014)
  8. Evolutionary computation and structural design: A survey of the state-of-the-art‏‎ (11:35, 13. Nov. 2014)
  9. EvoFIT: A holistic, evolutionary facial imaging technique for creating composites‏‎ (12:17, 13. Nov. 2014)
  10. Extending grammatical evolution to evolve digital surfaces with genr8‏‎ (12:29, 13. Nov. 2014)
  11. Functional scalability through generative representations: The evolution of table designs‏‎ (12:36, 13. Nov. 2014)
  12. Procedural Texture Evolution Using Multiobjective Optimization‏‎ (12:41, 13. Nov. 2014)
  13. Personality characteristics and aesthetic preference for chaotic curves‏‎ (19:00, 13. Nov. 2014)
  14. Rethinking adaptation: the niche-construction perspective‏‎ (20:01, 13. Nov. 2014)
  15. Art in global context: an evolutionary/functionalist perspective for the 21st century‏‎ (20:10, 13. Nov. 2014)
  16. A generic geometric transformation that unifies a wide range of natural and abstract shapes‏‎ (20:14, 13. Nov. 2014)
  17. Universal Aesthetic of Fractals‏‎ (20:21, 13. Nov. 2014)
  18. Aesthetic selection of morphogenetic art forms‏‎ (20:25, 13. Nov. 2014)
  19. Relazioni emergenti: experiments with the art of emergence‏‎ (21:01, 13. Nov. 2014)
  20. Towards creative evolutionary systems with interactive genetic algorithm‏‎ (21:09, 13. Nov. 2014)
  21. Four heads are better than one. combining face composites yields improvements in face likeness‏‎ (21:16, 13. Nov. 2014)
  22. Simulated aesthetics and evolving artworks: A coevolutionary approach‏‎ (21:18, 13. Nov. 2014)
  23. Genetic programming-based construction of features for machine learning and knowledge discovery tasks‏‎ (21:22, 13. Nov. 2014)
  24. Learning to colour greyscale images‏‎ (21:40, 13. Nov. 2014)
  25. Evolving for the Audience‏‎ (21:49, 13. Nov. 2014)
  26. All the truth about NEvAr‏‎ (21:52, 13. Nov. 2014)
  27. Understanding complex systems through examples: A framework for qualitative example finding‏‎ (10:37, 14. Nov. 2014)
  28. Has Chaos Been Explained?‏‎ (10:49, 14. Nov. 2014)
  29. Does Beauty Build Adapted Minds? Toward an Evolutionary Theory of Aesthetics‏‎ (10:57, 14. Nov. 2014)
  30. Evolving expressions and art by choice‏‎ (11:07, 14. Nov. 2014)
  31. A model of co-evolutionary design‏‎ (11:10, 14. Nov. 2014)
  32. Aesthetic experience and human evolution‏‎ (14:01, 14. Nov. 2014)
  33. Fractals and Self-Similarity‏‎ (14:03, 14. Nov. 2014)
  34. Emergence as a Construct: History and Issues‏‎ (14:10, 14. Nov. 2014)
  35. The science of art: a neurological theory of aesthetic experience‏‎ (14:15, 14. Nov. 2014)
  36. Fractal analysis of Pollock’s drip paintings‏‎ (14:19, 14. Nov. 2014)
  37. Information Distance‏‎ (15:19, 14. Nov. 2014)
  38. Tom Ray’s hammer: emergence and excess in A-life art‏‎ (15:21, 14. Nov. 2014)
  39. A Review of the Fractal Image Coding Literature‏‎ (17:43, 14. Nov. 2014)
  40. Explaining emergence: Towards an ontology of levels‏‎ (17:54, 14. Nov. 2014)
  41. No Free Lunch Theorems for Optimization‏‎ (18:24, 14. Nov. 2014)
  42. No free lunch theorems for search‏‎ (18:33, 14. Nov. 2014)
  43. Quantifying aesthetic preference for chaotic patterns‏‎ (11:57, 15. Nov. 2014)
  44. Creativity, emergence and evolution in design‏‎ (12:10, 15. Nov. 2014)
  45. Fractal analysis and aesthetic evaluation of geometrically overlapping patterns‏‎ (12:12, 15. Nov. 2014)
  46. The further exploits of Aaron, painter‏‎ (13:22, 15. Nov. 2014)
  47. What is complexity?‏‎ (13:25, 15. Nov. 2014)
  48. Mixed IFS: resolution of the inverse problem using genetic programming‏‎ (13:31, 15. Nov. 2014)
  49. Towards automated artificial evolution for computer-generated images‏‎ (13:38, 15. Nov. 2014)
  50. Automatic generation of iterated function systems‏‎ (13:45, 15. Nov. 2014)

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