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Computational Intelligence in Music, Sound, Art and Design : 6th International Conference, EvoMUSART 2017, Amsterdam, The Netherlands, April 19 21, 2017, Proceedings /

This book constitutes the refereed proceedings of the 6th International Conference on Evolutionary Computation in Combinatorial Optimization, EvoMUSART 2017, held in Amsterdam, The Netherlands, in April 2017, co-located with the Evo*2017 events EuroGP, EvoCOP and EvoApplications. The 24 revised full...

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Bibliographic Details
Corporate Authors: SpringerLink Online service
Group Author: Correia, Jo o; Ciesielski, Vic; Liapis, Antonios
Published: Springer International Publishing : Imprint: Springer,
Publisher Address: Cham :
Publication Dates: 2017.
Literature type: eBook
Language: English
Series: Lecture Notes in Computer Science, 10198
Subjects:
Computer science
Algorithms
Mathematical statistics
Data mining
Artificial intelligence
Image processing
Application software
Algorithm Analysis and Problem Complexity
Data Mining and Knowledge Discovery
Artificial Intelligence incl. Robotics
Image Processing and Computer Vision
Probability and Statistics in Computer Science
Computer Appl. in Arts and Humanities
Online Access: http://dx.doi.org/10.1007/978-3-319-55750-2
Summary: This book constitutes the refereed proceedings of the 6th International Conference on Evolutionary Computation in Combinatorial Optimization, EvoMUSART 2017, held in Amsterdam, The Netherlands, in April 2017, co-located with the Evo*2017 events EuroGP, EvoCOP and EvoApplications. The 24 revised full papers presented were carefully reviewed and selected from 29 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 inter
Carrier Form: 1 online resource (X, 371 pages): illustrations.
ISBN: 9783319557502
Index Number: QA76
CLC: TP301.6
Contents: Algorithmic Songwriting with ALYSIA -- On Symmetry, Aesthetics and Quantifying Symmetrical Complexity -- Towards Polyphony Reconstruction Using Multidimensional Multiple Sequence Alignment -- Melody Retrieval and Classification Using Biologically-Inspired Techniques -- Evolved Aesthetic Analogies to Improve Artistic Experience -- Deep Artificial Composer: A Creative Neural Network Model for Automated Melody Generation -- A Kind of Bio-inspired Learning of mUsic stylE -- Using Autonomous Agents to Improvise Music Compositions in Real-time -- Generating Polyphonic Music Using Tied Parallel Net

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