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Summary:

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. -- [Provided by publisher]

Table of Contents:

• 1. Deep learning concepts for evolutionary art / Fazle Tanjil, Brian J. Ross
• 2. Adversarial evolution and deep learning : how does an artist play with our visual system? / Alan Blair
• 3. Autonomy, authenticity, authorship and intention in computer generated art / Jon McCormack, Toby Gifford, Patrick Hutchings
• 4. Camera obscurer : generative art for design inspiration / Dilpreet Singh, Nina Rajcic, Simon Colton, Jon McCormack
• 5. Swarm-based identification of animation key points from 2D-medialness maps / Prashant Aparajeya, Frederic Fol Leymarie, Mohammad Majid al-Rifaie
• 6. Paintings, polygons and plant propagation / Misha Paauw, Daan van den Berg
• 7. Evolutionary games for audiovisual works : exploring the demographic prisoner's dilemma / Stefano Kalonaris
• 8. Emojinating : evolving emoji blends / João M. Cunha, Nuno Lourenço, João Correia, Pedro Martins, Penousal Machado
• 9. Automatically generating engaging presentation slide decks / Thomas Winters, Kory W. Mathewson
• 10. Tire of choosing? Just add structure and virtual reality / Edward Easton, Ulysses Bernardet, Aniko Ekart
• 11. EvoChef : show me what to cook! Artificial evolution of culinary arts / Hajira Jabeen, Nargis Tahara, Jens Lehmann
• 12. Comparing models for harmony prediction in an interactive audio looper / Benedikte Wallace, Charles P. Martin
• 13. Stochastic synthesizer patch exploration in Edisyn / Sean Luke
• 14. Evolutionary multi-objective training set selection of data instances and augmentations for vocal detection / Igor Vatolkin, Daniel Stoller
• 15. Automatic jazz melody composition through a learning-based genetic algorithm / Yong-Wook Nam, Yong-Hyuk Kim
• 16. Exploring transfer functions in evolved CTRNNs for music generation / Steffan Ianigro, Oliver Bown.

Contributors:

Ekart, Anikó , editor

Liapis, Antonios , editor

Castro Pena, María Luz , editor

Meetings:

EvoMUSART (Conference) (8th : 2019 : Leipzig, Germany)

EVOSTAR (Conference) (2019 : Leipzig, Germany)

Languages:

English

Language Notes:

Item content: English

Main Work:

Computational intelligence in music, sound, art and design: 8th International Conference, EvoMUSART 2019, held as part of EvoStar 2019, Leipzig, Germany, April 24-26, 2019, Proceedings [EvoMUSART (Conference)]

Related Series:

Lecture notes in computer science; [volume] 11453

LNCS sublibrary > SL 1, Theoretical computer science and general issues

Subjects:

Evolutionary programming (Computer science) — Congresses

Natural computation — Congresses

Computer music — Congresses

Computer art — Congresses

Evolutionary programming (Computer science)

Natural computation

Computer music

Computer art

Genres:

Conference papers and proceedings

General Notes:

International conference proceedings.
Includes author index.
Description based on: Online resource; title from PDF title page (SpringerLink, viewed April 22, 2019).

Physical Description:

1 online resource (x, 249 pages) : illustrations (some color).

Digital Characteristics:

text file

Call Numbers:

QA76.618 .C667 2019eb

ISBNs:

9783030166670 (electronic bk.)
3030166678 (electronic bk.)
9783030166663 (print) [Invalid]

Other Standard Numbers:

Digital Object Identifier: 10.1007/978-3-030-16667-0

OCLC Numbers:

1098036094