Evolutionary and Biologically Inspired Music, Sound, Art and Design : Third European Conference, EvoMUSART 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers

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. Evolutionary and Biologically Inspired Music, Sound, Art and Design Preface 5 Organization 8 Table of Contents 11 Probabilistic Decision Making for Interactive Evolution with Sensitivity Analysis 13 1 Introduction 13 2 Related Work 14 3 Method 15 3.1 Sensitivity Analysis for Interactive Design with Parametric Models 15 3.2 Probabilistic Decision Making for the Genetic Operators 18 3.3 Sampling Modifications 21 4 Results 22 5 Conclusion 23 References 23 An Interface for Fitness Function Design 25 1 Introduction 25 2 State of the Art 26 3 The Framework 27 3.1 Ants’ Simulation 28 3.2 Extracted Features 28 3.3 Evolutionary Engine 29 4 The Anatomy of a Fitness Function 29 5 Fitness Function Design Interface 30 6 Final Rendering Interface 32 7 Experimentation 33 8 Conclusions and Future Work 35 References 36 Balancing Act: Variation and Utility in Evolutionary Art 38 1 Introduction 38 1.1 Utility and Diversity 39 1.2 Related Work 40 2 Generative Mechanisms 40 2.1 Graph Interpretation 42 2.2 Animation and Sound 45 2.3 Evolution 45 3 Discussion 46 3.1 Composing Structure 47 References 48 Size Does Not Matter: Evolving Parameters for a Cayley Graph Visualiser Using 64 Bits 50 1 Introduction 50 2 Jenn3d 51 3 Methodology 52 3.1 Evolutionary Approach 52 3.2 Encoding 53 3.3 Fitness Evaluation 56 4 Results 57 4.1 More Efficient Encoding 57 5 Conclusions 60 References 60 A Complexity Approach for Identifying Aesthetic Composite Landscapes 62 1 Introduction 62 2 State of the Art 63 3 Complexity Metrics and Presented Features 64 4 Experimental Dataset for Aesthetic Composition 66 5 Classification Method and Results Obtained 66 5.1 An Expert Overview 70 6 Future Work 71 References 72 Feature Construction Using Genetic Programming for Classification of Images by Aesthetic Value 74 1 Introduction 74 1.1 Goals 75 2 Related Work 75 2.1 Genetic Programming for Image Classification 75 3 Methodology 77 3.1 Genetic Programming Configuration 77 3.2 Data Sets 78 4 Experiments and Results 79 4.1 Implementation 79 4.2 Experiment with Imagene Evolved Art 79 4.3 Experiment with Photographs 82 4.4 Discussion 84 5 Conclusion 84 References 85 Authorship and Aesthetics Experiments:Comparison of Results between Human and Computational Systems 86 1 Introduction 86 2 Experiments Involving Humans 87 2.1 Authorship Experiments 87 2.2 Aesthetics Appreciation 89 3 Developed System 89 4 Results: Authorship Test 91 5 Results: Aesthetic Validation Test 93 6 Conclusions 94 References 95 An Indirect Fitness Scheme for Automated Evolution of Aesthetic Images 97 1 Introduction 97 2 On the Role of Novelty 98 3 Our Fitness Function 99 4 Evolved Images 100 5 Diversity or Plasticity? 103 6 Conclusion 104 References 104 A Novelty Search and Power-Law-Based Genetic Algorithm for Exploring Harmonic Spaces in J.S. Bach Chorales 107 1 Introduction 107 2 Background 109 3 Data Representation 110 3.1 Musical Corpora 111 3.2 Harmony Extraction 111 3.3 Harmony Representation 112 4 User Interface Design 112 5 Markov Model 113 6 Evolutionary Algorithm 113 6.1 Power-Law Metrics 114 6.2 Genotype Representation 115 6.3 Novelty Search 115 6.4 Melody Guided Fitness 116 7 Conclusion and Future Work 117 References 118 Genomic: Evolving Sound Treatments Using Genetic Algorithms 119 1 Motivation 119 2 Past Work: Evolutionary Systems 120 3 Genomic: An Evolutionary System for Sound Treatments 121 3.1 A Note on Terminology 121 3.2 Genotype and Phenotype 121 3.3 Running the GA 122 3.4 The Fitness Function 123 3.5 Implementation 123 4 Goals for Evolution 124 4.1 Evolving Novelty 124 4.2 Evolving towards a Target 125 5 Extending Genomic with CorpusDB 125 5.1 Developing a Corpus from Several Seed Sounds 127 5.2 Observations 128 6 Conclusion and Future Work 129 References 129 Evolving an Aircraft Using a Parametric Design System 131 1 Introduction 131 2 Parametric Design 132 3 Computational Fluid Dynamics 133 4 Evolutionary Aircraft Optimisation 134 5 Optimisation of Blended Wing Body Design 135 5.1 Experimental Settings 136 6 Optimisation Results 138 7 Conclusions 140 References 141 Author Index 143 Front Matter....Pages - Probabilistic Decision Making for Interactive Evolution with Sensitivity Analysis....Pages 1-12 An Interface for Fitness Function Design....Pages 13-25 Balancing Act: Variation and Utility in Evolutionary Art....Pages 26-37 Size Does Not Matter: Evolving Parameters for a Cayley Graph Visualiser Using 64 Bits....Pages 38-49 A Complexity Approach for Identifying Aesthetic Composite Landscapes....Pages 50-61 Feature Construction Using Genetic Programming for Classification of Images by Aesthetic Value....Pages 62-73 Authorship and Aesthetics Experiments: Comparison of Results between Human and Computational Systems....Pages 74-84 An Indirect Fitness Scheme for Automated Evolution of Aesthetic Images....Pages 85-94 A Novelty Search and Power-Law-Based Genetic Algorithm for Exploring Harmonic Spaces in J.S. Bach Chorales....Pages 95-106 Genomic: Evolving Sound Treatments Using Genetic Algorithms....Pages 107-118 Evolving an Aircraft Using a Parametric Design System....Pages 119-130 Back Matter....Pages -