Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11453)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Conference series link(s): EvoMUSART: International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar)
Conference proceedings info: EvoMUSART 2019.
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Table of contents (17 papers)
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Front Matter
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Back Matter
About this book
This book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Computation in Combinatorial Optimization, EvoMUSART 2019, held in Leipzig, Germany, in April 2019, co-located with the Evo*2019 events EuroGP, EvoCOP and EvoApplications.
The 16 revised full papers presented were carefully reviewed and selected from 24 submissions. The papers cover a wide range of topics and application areas, including: visual art and music generation, analysis, and interpretation; sound synthesis; architecture; video; poetry; design; and other creative tasks.
Keywords
- artificial intelligence
- data mining
- evolutionary algorithms
- evolutionary computation
- fine arts
- genetic algorithms
- human-centered computing
- human-computer interaction
- image reconstruction
- machine learning
- multi-agent systems
- neural networks
- problem solving
- recurrent neural networks
- search spaces
- semantics
- signal processing
- sound and music computing
- algorithm analysis and problem complexity
Editors and Affiliations
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Aston University, Birmingham, UK
Anikó Ekárt
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University of Malta, Msida, Malta
Antonios Liapis
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University of A Coruña, A Coruña, Spain
María Luz Castro Pena
Bibliographic Information
Book Title: Computational Intelligence in Music, Sound, Art and Design
Book Subtitle: 8th International Conference, EvoMUSART 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings
Editors: Anikó Ekárt, Antonios Liapis, María Luz Castro Pena
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-16667-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-16666-3Published: 27 March 2019
eBook ISBN: 978-3-030-16667-0Published: 10 April 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 249
Number of Illustrations: 31 b/w illustrations, 78 illustrations in colour
Topics: Algorithm Analysis and Problem Complexity, Artificial Intelligence, Data Mining and Knowledge Discovery, Arithmetic and Logic Structures