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Titlebook: Evolutionary and Biologically Inspired Music, Sound, Art and Design; Third European Confe Juan Romero,James McDermott,João Correia Conferen

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Eckhard Bick,Katja Gorbahn,Nina Kalway over 85% in an aesthetic composition binary classification task is achieved. The obtained network seems to be useful for the purpose of assessing the Aesthetic Composition of landscapes. It could be used as part of a media device for facilitating the creation of images or videos with a more professional aesthetic composition.
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https://doi.org/10.1007/978-3-319-91917-1tion with genetic algorithms. Genomic, a simple system for evolving sound treatment parameters, is presented, along with two simple use cases. Finally, a more complex process is outlined where sound treatment parameters are evolved and stored in a database with associated metadata for further organization and compositional use.
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https://doi.org/10.1007/978-981-10-7557-5mitigates the problem of early convergence. A discussion of the trade-offs of different approaches to sensitivity analysis is provided as well as a demonstration of this new technique on a parametric model built for character design ideation.
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Probabilistic Decision Making for Interactive Evolution with Sensitivity Analysis,mitigates the problem of early convergence. A discussion of the trade-offs of different approaches to sensitivity analysis is provided as well as a demonstration of this new technique on a parametric model built for character design ideation.
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https://doi.org/10.1007/978-981-287-772-7experimental results highlights how fitness function design influences the outcomes of the evolutionary runs, conveying the intentions of the user and enabling the evolution of a wide variety of images.
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