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Titlebook: Evolutionary and Biologically Inspired Music, Sound, Art and Design; 5th International Co Colin Johnson,Vic Ciesielski,Penousal Machado Con

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書目名稱Evolutionary and Biologically Inspired Music, Sound, Art and Design
副標題5th International Co
編輯Colin Johnson,Vic Ciesielski,Penousal Machado
視頻videohttp://file.papertrans.cn/319/318048/318048.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Evolutionary and Biologically Inspired Music, Sound, Art and Design; 5th International Co Colin Johnson,Vic Ciesielski,Penousal Machado Con
描述.This book constitutes the refereed proceedings of the 5th International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design, EvoMUSART 2016, held in Porto, Portugal, in March/April 2016, co-located with the Evo*2016 events EuroGP, EvoCOP and EvoApplications...The 17 revised full papers presented were carefully reviewed and selected from 25 submissions. The papers cover a wide range of topics and application areas, including generative approaches to music, graphics, game content, and narrative; music information retrieval; computational aesthetics; the mechanics of interactive evolutionary computation; and the art theory of evolutionary computation..
出版日期Conference proceedings 2016
關(guān)鍵詞Ant colony optimization; Artificial intelligence; Bioinformatics; Biologically inspired computing; Compu
版次1
doihttps://doi.org/10.1007/978-3-319-31008-4
isbn_softcover978-3-319-31007-7
isbn_ebook978-3-319-31008-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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https://doi.org/10.1007/978-3-031-18060-6rticle swarm based SBR process. The algorithm and its implementation aspects are discussed in detail. Experimental results are presented showing the painterly rendering of input images and the extracted brush paths.
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Plecto: A Low-Level Interactive Genetic Algorithm for the Evolution of Audio,tial GA designs through the development of . (see .), a creative tool that evolves CTRNNs for the discovery of audio. We have found that the evolution of CTRNNs offers some interesting prospects for audio exploration and present some design considerations for the implementation of such a system.
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Iterative Brush Path Extraction Algorithm for Aiding Flock Brush Simulation of Stroke-Based Painterrticle swarm based SBR process. The algorithm and its implementation aspects are discussed in detail. Experimental results are presented showing the painterly rendering of input images and the extracted brush paths.
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Conference proceedings 2016ncluding generative approaches to music, graphics, game content, and narrative; music information retrieval; computational aesthetics; the mechanics of interactive evolutionary computation; and the art theory of evolutionary computation..
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https://doi.org/10.1007/978-3-319-43353-0ance to a target sound encoded in a fitness function. Opt-aiNet is capable of finding multiple solutions in parallel while preserving diversity, proposing alternative orchestrations for the same target sound that are different among themselves. We performed a listening test to evaluate the subjective similarity and diversity of the orchestrations.
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