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An overview of various generative art schemes and their implementation using genetic algorithms. It covers the ubiquity of ga schemes, standard search paradigms, and non-interactive algorithms. The document also introduces a practice-based approach for exploring new generative art schemes and concludes with considerations for image assessment parameters and fitness function taxonomy.
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The ubiquity of GA schemes Standard search paradigm Non-interactive genetic algorithms Our practice-based approach Conclusions
TSP Art – Kaplan & Bosch ’ Polar Transformations – Bleicher ’ Reaction Diffusion – Behravan & Carlisle ’ ACO – Aupetit et al ’ Cellular Morphognesis – Eggenberger ’
Modeled after Sims User interface to control genetics Features
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Co-evolutionary framework (’00) Color segmentation analysis (’02) Multi-objective Optimization (’03) Virtual ant paintings (’05) Cellular morphogenesis (’05) Serial polar transf. motifs (’05)