UID:
almahu_9948173932302882
Format:
X, 249 p. 113 illus., 78 illus. in color.
,
online resource.
Edition:
1st ed. 2019.
ISBN:
9783030166670
Series Statement:
Theoretical Computer Science and General Issues ; 11453
Content:
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.
Note:
Deep Learning Concepts for Evolutionary Art -- Adversarial Evolution and Deep Learning – How Does An Artist Play with Our Visual System -- Autonomy, Authenticity, Authorship and Intention in Computer Generated Art -- Camera Obscurer: Generative Art for Design Inspiration -- Swarm-Based Identification of Animation Key Points from 2D-medialness Maps -- Paintings, Polygons and Plant Propagation -- Evolutionary Games for Audiovisual Works: Exploring the Demographic Prisoner's Dilemma -- Emojinating: Evolving Emoji Blends -- Automatically Generating Engaging Presentation Slide Decks -- Tired of choosing? Just Add Structure and Virtual Reality -- EvoChef: Show Me What to Cook! Artificial Evolution of Culinary Arts -- Comparing Models for Harmony Prediction in An Interactive Audio Looper -- Stochastic Synthesizer Patch Exploration in Edisyn -- Evolutionary Multi-Objective Training Set Selection of Data Instances and Augmentations for Vocal Detection -- Automatic Jazz Melody Composition Through a Learning-Based Genetic Algorithm -- Exploring Transfer Functions in Evolved CTRNNs for Music Generation. .
In:
Springer eBooks
Additional Edition:
Printed edition: ISBN 9783030166663
Additional Edition:
Printed edition: ISBN 9783030166687
Language:
English
DOI:
10.1007/978-3-030-16667-0
URL:
https://doi.org/10.1007/978-3-030-16667-0
