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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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發(fā)表于 2025-3-21 17:55:02 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Evolutionary and Biologically Inspired Music, Sound, Art and Design
副標(biāo)題Third European Confe
編輯Juan Romero,James McDermott,Jo?o Correia
視頻videohttp://file.papertrans.cn/319/318049/318049.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Evolutionary and Biologically Inspired Music, Sound, Art and Design; Third European Confe Juan Romero,James McDermott,Jo?o Correia Conferen
描述.This book constitutes the refereed proceedings of the Third International Conference on Biologically Inspired Music, Sound, Art and Design, Evo MUSART 2014, held in Granada, Spain, in April 2014, co-located with the Evo* 2013 events Euro GP, Evo COP, Evo BIO and Evo Applications..The 11 revised full papers presented were carefully reviewed and selected from 30 submissions. They cover a wide range of topics and application areas..
出版日期Conference proceedings 2014
關(guān)鍵詞algorithm analysis and problem complexity
版次1
doihttps://doi.org/10.1007/978-3-662-44335-4
isbn_softcover978-3-662-44334-7
isbn_ebook978-3-662-44335-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2014
The information of publication is updating

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Evolutionary and Biologically Inspired Music, Sound, Art and Design978-3-662-44335-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Exploring Integrity in the Christian Churcheally 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
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https://doi.org/10.1007/978-3-319-74002-7tem 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
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Eckhard Bick,Katja Gorbahn,Nina Kalwalements 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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