![]() Until now the individuals correspond to simplistic primitives: Infinitely small 3-D points. It has also been used in image reconstruction for tomography. The primary usage of the Fly algorithm is in computer vision, especially stereo-vision in robotics. We adapt a cooperative co-evolution strategy based on the Parisian evolution approach, the Fly algorithm, to produce artistic visual effects from an input image (e.g. Our method generates artistic images as an optimisation problem without the introduction of any a priori knowledge or constraint other than the input image. The most common techniques to generate a digital mosaic effect heavily rely on Centroidal Voronoi diagrams. This study is about Evolutionary art such as digital mosaics. We report on several sets ofĮxperiments run to determine the best EC algorithms, parameters, and fitness functions for this problem. The ability to mimicĪ given sound can be used in several ways to augment interactive sound synthesis applications. We focus on the problem of automatically matching a target sound using a given synthesizer. In this chapter we introduce and provide motivation for the application of EC to sound synthesis, surveying previous work User and the simple hill-climbing search algorithm will both fail to produce a desired sound in this context, whereas an EC ![]() More importantly, sound synthesis can be a very unintuitive technique, since changes in input parametersĬan give rise, via non-linearities and interactions among parameters, to unexpected changes in output sounds. The EC concepts of the genome, the phenotype,Īnd the fitness function map naturally to the synthesis concepts of control parameters, output sound, and comparison withĪ desired sound. Sound synthesis is a natural domain in which to apply evolutionary computation (EC).
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