Evolutionary and Biologically Inspired Music, Sound, Art and Design: First International Conference, EvoMUSART 2012, Málaga, Spain, April 11-13, 2012, Proceedings

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Springer Science & Business Media, Mar 26, 2012 - Computers - 236 pages
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This book constitutes the refereed proceedings of the First International Conference on Biologically Inspired Music, Sound, Art and Design, EvoMUSART 2012, held in Málaga, Spain, in April 2012, colocated with the Evo* 2012 events EuroGP, EvoCOP, EvoBIO, and EvoApplications. Due to its significant growth in the last 10 years, this 10th EvoMUSART event has become an Evo* conference in 2012. The 15 revised full papers and 5 poster papers presented were carefully reviewed and selected from 43 submissions. They cover a wide range of topics reflecting the current state of research in the field, including theory, generation, computer aided creativity, computational creativity, and automation.
 

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Contents

Animating in RealTime Dancing Avatars
1
Aesthetic 3D Model Evolution
11
A Local Search Interface for Interactive Evolutionary Architectural Design
23
Evolving a Library of Artistic Scene Descriptors
35
Evolving Pop Art Using Scalable Vector Graphics
48
Maintaining Population Diversityin Evolutionary Art
60
Composing with Multiple Evolutionary Algorithms
72
Fuzzy Rule Based System Ensemble for Music Genre Classification
84
What Has Been Used and What Could Be Used?
129
Interactive Evolution of 8Bit Melodies with Genetic Programming towards Finding Aesthetic Measures for Sound
141
Investigating Aesthetic Features to Model Human Preference in Evolutionary Art
153
The Traveling Percussionist
165
Genetic Programming for Musical Sound Analysis
176
ExpressionBased Evolution of Faces
187
Graph Grammars as a Representation for Interactive Evolutionary 3D Design
199
Exploring a Hybrid of Tone Models and Particle Swarm Optimisation
211

A Computational Environment for the Evolutionary Sound Synthesis of Birdsongs
96
A Platform for Evolving Controllers for Simulated Drawing Robots
108
Learning Comparative User Models for Accelerating HumanComputer Collaborative Search
117
Reinforcement Learning and the Creative Automated Music Improviser
223
Author Index
235
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