Evolutionary and Biologically Inspired Music, Sound, Art and Design: Third European Conference, EvoMUSART 2014, Granada, Spain, April 23-25, 2014, Rev by Juan RomeroEvolutionary and Biologically Inspired Music, Sound, Art and Design: Third European Conference, EvoMUSART 2014, Granada, Spain, April 23-25, 2014, Rev by Juan Romero

Evolutionary and Biologically Inspired Music, Sound, Art and Design: Third European Conference…

byJuan RomeroEditorJames McDermott, Jo Correia

Paperback | September 1, 2014

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This book constitutes the refereed proceedings of the Third International Conference on Biologically Inspired Music, Sound, Art and Design, Evo MUSART 2014, held in Granada, Spain, in April 2014, co-located with the Evo* 2013 events Euro GP, Evo COP, Evo BIO and Evo Applications.

The 11 revised full papers presented were carefully reviewed and selected from 30 submissions. They cover a wide range of topics and application areas.

Title:Evolutionary and Biologically Inspired Music, Sound, Art and Design: Third European Conference…Format:PaperbackDimensions:132 pagesPublished:September 1, 2014Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3662443341

ISBN - 13:9783662443347

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Table of Contents

Probabilistic Decision Making for Interactive Evolution with Sensitivity Analysis.- An Interface for Fitness Function Design.- Balancing Act: Variation and Utility in Evolutionary Art.- Size Does Not Matter: Evolving Parameters for a Cayley Graph Visualiser Using 64 Bits.- A Complexity Approach for Identifying Aesthetic Composite Landscapes.- Feature Construction Using Genetic Programming for Classification of Images by Aesthetic Value.- Authorship and Aesthetics Experiments: Comparison of Results between Human and Computational Systems.- An Indirect Fitness Scheme for Automated Evolution of Aesthetic Images.- A Novelty Search and Power-Law-Based Genetic Algorithm for Exploring Harmonic Spaces in J.S. Bach Chorales.- Genomic: Evolving Sound Treatments Using Genetic Algorithms.- Evolving an Aircraft Using a Parametric Design System.