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

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41#
發(fā)表于 2025-3-28 16:23:53 | 只看該作者
An Interface for Fitness Function Design,experimental 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.
42#
發(fā)表于 2025-3-28 22:06:51 | 只看該作者
43#
發(fā)表于 2025-3-28 23:22:50 | 只看該作者
Probabilistic Decision Making for Interactive Evolution with Sensitivity Analysis, to enable region-of-interest selection on design candidates. Even though it provides more precise control over the evolutionary search to the designer, the existing methodology for this enhancement to evolutionary algorithms does not make full use of the information provided by sensitivity analysis
44#
發(fā)表于 2025-3-29 06:53:27 | 只看該作者
45#
發(fā)表于 2025-3-29 08:26:04 | 只看該作者
Balancing Act: Variation and Utility in Evolutionary Art,eally we would like a genotypic representation that is terse but expressive, that is, we want to maximise the useful variations the genotype is capable of expressing in phenotype space. Terseness is necessary to minimise the size of the overall search space, and expressiveness can be loosely interpr
46#
發(fā)表于 2025-3-29 12:52:23 | 只看該作者
Size Does Not Matter: Evolving Parameters for a Cayley Graph Visualiser Using 64 Bits,tem uses a combination of the Grammatical Evolution paradigm and Jenn3d, a visualiser of Cayley graphs of finite Coxeter groups. A very compact representation is used for the genotype strings, using only 64 bits. The resulting visualisations, albeit somewhat restricted, still exhibit a large degree
47#
發(fā)表于 2025-3-29 16:40:58 | 只看該作者
A Complexity Approach for Identifying Aesthetic Composite Landscapes,lements integrating it and of those which are its focus of attention. Using a neural network to create a classifier based on those features an accuracy over 85% in an aesthetic composition binary classification task is achieved. The obtained network seems to be useful for the purpose of assessing th
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