LEADER 05223nam 22007935 450 001 996465821803316 005 20230406052905.0 010 $a3-540-33144-1 024 7 $a10.1007/11729976 035 $a(CKB)1000000000232896 035 $a(SSID)ssj0000317919 035 $a(PQKBManifestationID)11240655 035 $a(PQKBTitleCode)TC0000317919 035 $a(PQKBWorkID)10307852 035 $a(PQKB)10090561 035 $a(DE-He213)978-3-540-33144-5 035 $a(MiAaPQ)EBC3067737 035 $a(PPN)123132916 035 $a(EXLCZ)991000000000232896 100 $a20100301d2006 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aGenetic Programming$b[electronic resource] $e9th European Conference, EuroGP 2006, Budapest, Hungary, April 10-12, 2006. Proceedings /$fedited by Pierre Collet, Marco Tomassini, Marc Ebner, Steven Gustafson, Anikó Ekárt 205 $a1st ed. 2006. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2006. 215 $a1 online resource (XII, 364 p.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v3905 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-33143-3 320 $aIncludes bibliographical references and index. 327 $a802.11 De-authentication Attack Detection Using Genetic Programming -- 802.11 De-authentication Attack Detection Using Genetic Programming -- A Divide & Conquer Strategy for Improving Efficiency and Probability of Success in Genetic Programming -- A Genetic Programming Approach to Solomonoff?s Probabilistic Induction -- A Less Destructive, Context-Aware Crossover Operator for GP -- AQUAGP: Approximate QUery Answers Using Genetic Programming -- Blindbuilder: A New Encoding to Evolve Lego-Like Structures -- Dynamic Scheduling with Genetic Programming -- Emergent Generality of Adapted Locomotion Gaits of Simulated Snake-Like Robot -- Evolving Crossover Operators for Function Optimization -- Genetic Programming, Validation Sets, and Parsimony Pressure -- Geometric Crossover for Biological Sequences -- Incentive Method to Handle Constraints in Evolutionary Algorithms with a Case Study -- Iterative Filter Generation Using Genetic Programming -- Iterative Prototype Optimisation with Evolved Improvement Steps -- Learning Recursive Functions with Object Oriented Genetic Programming -- Negative Slope Coefficient: A Measure to Characterize Genetic Programming Fitness Landscapes -- Population Clustering in Genetic Programming -- Projecting Financial Data Using Genetic Programming in Classification and Regression Tasks -- Solving Sudoku with the GAuGE System -- The Halting Probability in Von Neumann Architectures -- Using Subtree Crossover Distance to Investigate Genetic Programming Dynamics -- Posters -- Characterizing Diversity in Genetic Programming -- Complexity and Cartesian Genetic Programming -- Design of Robust Communication Systems Using Genetic Algorithms -- Developmental Evaluation in Genetic Programming: The Preliminary Results -- Evolving Noisy Oscillatory Dynamics in Genetic Regulatory Networks -- Information-Dependent Switching of Identification Criteria in a Genetic Programming System for System Identification -- Invariance of Function Complexity Under Primitive Recursive Functions -- On the Locality of Grammatical Evolution -- Optimizing the Initialization of Dynamic Decision Heuristics in DPLL SAT Solvers Using Genetic Programming -- P-CAGE: An Environment for Evolutionary Computation in Peer-to-Peer Systems -- Positional Independence and Recombination in Cartesian Genetic Programming. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v3905 606 $aSoftware engineering 606 $aComputer programming 606 $aComputer science 606 $aAlgorithms 606 $aPattern recognition systems 606 $aArtificial intelligence 606 $aSoftware Engineering 606 $aProgramming Techniques 606 $aTheory of Computation 606 $aAlgorithms 606 $aAutomated Pattern Recognition 606 $aArtificial Intelligence 615 0$aSoftware engineering. 615 0$aComputer programming. 615 0$aComputer science. 615 0$aAlgorithms. 615 0$aPattern recognition systems. 615 0$aArtificial intelligence. 615 14$aSoftware Engineering. 615 24$aProgramming Techniques. 615 24$aTheory of Computation. 615 24$aAlgorithms. 615 24$aAutomated Pattern Recognition. 615 24$aArtificial Intelligence. 676 $a006.3/1 702 $aCollet$b Pierre$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTomassini$b Marco$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aEbner$b Marc$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGustafson$b Steven$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aEkárt$b Anikó$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996465821803316 996 $aGenetic Programming$9772374 997 $aUNISA LEADER 11195nam 22008655 450 001 9910483383203321 005 20230329233208.0 010 $a3-319-31008-9 024 7 $a10.1007/978-3-319-31008-4 035 $a(CKB)3710000000627354 035 $a(SSID)ssj0001658185 035 $a(PQKBManifestationID)16440051 035 $a(PQKBTitleCode)TC0001658185 035 $a(PQKBWorkID)14989768 035 $a(PQKB)10760287 035 $a(DE-He213)978-3-319-31008-4 035 $a(MiAaPQ)EBC6298694 035 $a(MiAaPQ)EBC5587286 035 $a(Au-PeEL)EBL5587286 035 $a(OCoLC)945365579 035 $a(PPN)192771868 035 $a(EXLCZ)993710000000627354 100 $a20160316d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aEvolutionary and Biologically Inspired Music, Sound, Art and Design $e5th International Conference, EvoMUSART 2016, Porto, Portugal, March 30 -- April 1, 2016, Proceedings /$fedited by Colin Johnson, Vic Ciesielski, Joăo Correia, Penousal Machado 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (X, 241 p. 124 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v9596 300 $aIncludes index. 311 $a3-319-31007-0 327 $aIntro -- Preface -- Organization -- Contents -- Computer-Aided Musical Orchestration Using an Artificial Immune System -- 1 Introduction -- 2 Computer-Aided Musical Orchestration (CAMO) -- 2.1 Overview -- 2.2 Sound Database -- 2.3 Feature Database -- 2.4 Pre-processing -- 2.5 Representation -- 2.6 Combination Functions -- 2.7 Fitness Function -- 3 Immune Inspired Musical Orchestration -- 3.1 Opt-aiNet: An Artificial Immune System for Optimization -- 3.2 Phase Vocoder -- 3.3 Graphical Interface -- 4 Evaluation -- 5 Results and Discussion -- 5.1 Subjective Evaluation -- 5.2 Objective Evaluation -- 6 Conclusions and Perspectives -- References -- Evolving Atomic Aesthetics and Dynamics -- 1 Introduction -- 2 danceroom Spectroscopy -- 3 Interactive Evolutionary Computation (IEC) -- 4 Evolving Atomic Aesthetics -- 4.1 Representation -- 4.2 Evaluation and Selection -- 4.3 Mutation -- 5 Experimentation -- 5.1 Single-User IEC Interface -- 5.2 Collaborative IEC Interface -- 6 Conclusion -- References -- Augmenting Live Coding with Evolved Patterns -- 1 Introduction -- 2 Methodology -- 2.1 Tidal -- 2.2 Grammar and Parser -- 2.3 Evolutionary Algorithm -- 3 Evalutation -- 3.1 Is the System Generating Legal Tidal Patterns? -- 3.2 What Is the Relative Level of Complexity of the Generated Patterns? -- 3.3 How Does the Generated Audio Compare with Tidal? -- 3.4 How Does the Fitness of the Population Change? -- 4 Conclusion -- 4.1 On the Experience of Live Coding with Evolved Patterns -- 4.2 On the Need for a Quantitative Evaluation -- 4.3 Closing Remarks -- References -- Towards Adaptive Evolutionary Architecture -- 1 Introduction -- 1.1 Research Design and Goal -- 2 Background -- 2.1 Interdisciplinary Scope: Philosophy, Architecture and ALife -- 2.2 Interactive Evolution -- 3 EvoCurtain: The Evolutionary Window Curtain -- 3.1 Set-Up and Spatial Layout. 327 $a3.2 Genetic Representation -- 3.3 Interactive Evolutionary Setup -- 4 Experiments -- 4.1 Genetic Experimental Parameters -- 5 Results -- 5.1 Disagreement and Reconciliation -- 5.2 Control and Preconceptions -- 5.3 Time -- 5.4 Interdisciplinary Perspective -- 6 Discussion -- 7 Conclusion -- References -- Plecto: A Low-Level Interactive Genetic Algorithm for the Evolution of Audio -- 1 Introduction -- 2 Background -- 2.1 Genetic Algorithms -- 2.2 Creative Potential of Lower-Level Audio Engines -- 3 A Low-Level Audio Engine -- 4 Growing the Population -- 5 Searching the Population -- 5.1 Meaningful Representation of the Population -- 5.2 Creating GA Landscapes -- 5.3 Descriptive Icons -- 5.4 A Navigational Tool for Plecto's Scatterplot Interface -- 5.5 Refining Population Search -- 6 Conclusion -- References -- Correlation Between Human Aesthetic Judgement and Spatial Complexity Measure -- 1 Introduction -- 2 Informational Theories of Aesthetics -- 3 Spatial Complexity Measure -- 4 Analysis -- 5 Conclusions -- References -- Exploring the Visual Styles of Arcade Game Assets -- 1 Introduction -- 2 Related Work -- 2.1 Procedural Content Generation -- 2.2 Constrained Optimization and Constrained Novelty Search -- 3 Methodology -- 3.1 Spaceship Representation -- 3.2 Spaceship Evolution -- 3.3 Spaceship Evaluation -- 4 Experiments -- 4.1 Quality of Generated Results -- 4.2 Diversity of Generated Results -- 5 Discussion -- 6 Conclusion -- References -- Grammatical Music Composition with Dissimilarity Driven Hill Climbing -- 1 Introduction -- 2 Related Work -- 2.1 Composing with Evolutionary Computation -- 2.2 Musical Fitness -- 3 Method -- 3.1 Grammar -- 3.2 Fitness Measurement -- 3.3 Operators -- 4 Experiments -- 4.1 Melody Shapes -- 4.2 Experimental Variations -- 5 Results -- 5.1 Analysis of the Operators -- 5.2 Melodies -- 5.3 Discussion. 327 $a6 Conclusion and Future Work -- References -- Animating Typescript Using Aesthetically Evolved Images -- 1 Introduction -- 2 Aesthetic Evolution Basis -- 3 Animating Aesthetically Evolved Images -- 4 Mapping of Animated Functions to Typefaces -- 5 Compositing Animated Typefaces into Animated Typescript -- 6 Discussion and Conclusion -- References -- An Evolutionary Composer for Real-Time Background Music -- 1 Introduction -- 2 Environment and Musical States -- 2.1 Environment State -- 2.2 Musical State -- 3 EvoBackMusic Components -- 3.1 The Observer Agent -- 3.2 The Composer Agent -- 3.3 The Sound Agent -- 4 Evaluation Study -- 4.1 Methodology -- 4.2 Results -- 5 Conclusions -- References -- Iterative Brush Path Extraction Algorithm for Aiding Flock Brush Simulation of Stroke-Based Painterl ... -- Abstract -- 1 Introduction -- 2 Related Works -- 2.1 Stroke-Based Rendering Techniques -- 2.2 Brush Stroke Extraction -- 2.3 Flock Brush Simulation -- 3 Iterative Brush Stroke Path Extraction -- 3.1 Algorithm Overview -- 3.2 Implementation Aspects -- 4 Results and Discussions -- 5 Conclusion and Future Work -- References -- A Comparison Between Representations for Evolving Images -- 1 Introduction -- 2 Representation, Fitness Landscapes and Locality -- 3 Short Review of Existing Representations for Images -- 4 The Proposed Representations -- 5 Experimental Study -- 5.1 Test Cases -- 5.2 Experimental Settings -- 5.3 Experimental Results Obtained on the Shapes Test Case -- 5.4 Experimental Results Obtained on the Shaded Shapes Test Case -- 5.5 Experimental Results Obtained on the Yin and Yang Test Case -- 5.6 Experimental Results Obtained on the Shaded Yin and Yang Test Case -- 5.7 Experimental Results Obtained on the Lena Test Case -- 5.8 Experimental Results on the Locality of the Representations -- 5.9 Best Evolved Individuals. 327 $a6 Conclusions and Future Work -- References -- Evolving L-Systems with Musical Notes -- 1 Introduction -- 2 Background -- 2.1 L-Systems -- 2.2 Evolutionary Algorithms -- 2.3 Musical Concepts -- 3 Related Work -- 4 System's Architecture -- 4.1 General Overview -- 4.2 Audiovisual Interpretation and Mappings -- 4.3 The Evolutionary Algorithm -- 4.4 Auxiliary Tools -- 5 Experimental Results and Discussion -- 6 Conclusion and Further Work -- References -- MetaCompose: A Compositional Evolutionary Music Composer -- 1 Introduction -- 2 Background -- 2.1 Procedurally Generated Music -- 2.2 Multi-Objective Optimization -- 2.3 Feasible/Infeasible 2-Population Genetic Algorithm -- 3 MetaCompose -- 4 Non-dominated Sorting Feasible-Infeasible 2 Populations -- 5 Composition Generation -- 5.1 Chord Sequence Generation -- 5.2 Melody Generation -- 5.3 Accompaniment Generation -- 6 Experiment Design -- 6.1 Music Clip Generation -- 7 Results and Analysis -- 7.1 Complete Generator Against All Other Groups -- 7.2 Complete Generator Against Random Chord Sequence Generation -- 7.3 Complete Generator Against Unconstrained Melody Generation -- 7.4 Complete Generator Against Constrained Melody Generation -- 7.5 Complete Generator Against Random Accompaniment Generation -- 8 Conclusion and Future Work -- References -- 'Turingalila' Visual Music on the Theme of Morphogenesis -- Abstract -- 1 Introduction -- 2 The Magic of Morphogenesis -- 3 Creating 'Turingalila' as Visual Music -- 4 Conclusion: Patterns of Change -- References -- Fitness and Novelty in Evolutionary Art -- 1 Introduction -- 2 State of the Art -- 3 Proposed Algorithm -- 3.1 Archive Assessment -- 3.2 Selection Mechanism -- 4 Evolving Figurative Images -- 5 Evolving Context Free Design Grammars -- 6 Results -- 6.1 Experimental Setup -- 6.2 Results -- 7 Conclusions and Future Work -- References -- Author Index. 330 $aThis book constitutes the refereed proceedings of the 5th International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design, EvoMUSART 2016, held in Porto, Portugal, in March/April 2016, co-located with the Evo*2016 events EuroGP, EvoCOP and EvoApplications. The 17 revised full papers presented were carefully reviewed and selected from 25 submissions. The papers cover a wide range of topics and application areas, including generative approaches to music, graphics, game content, and narrative; music information retrieval; computational aesthetics; the mechanics of interactive evolutionary computation; and the art theory of evolutionary computation. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v9596 606 $aUser interfaces (Computer systems) 606 $aHuman-computer interaction 606 $aAlgorithms 606 $aArtificial intelligence 606 $aDigital humanities 606 $aComputer science?Mathematics 606 $aUser Interfaces and Human Computer Interaction 606 $aAlgorithms 606 $aArtificial Intelligence 606 $aDigital Humanities 606 $aMathematics of Computing 615 0$aUser interfaces (Computer systems). 615 0$aHuman-computer interaction. 615 0$aAlgorithms. 615 0$aArtificial intelligence. 615 0$aDigital humanities. 615 0$aComputer science?Mathematics. 615 14$aUser Interfaces and Human Computer Interaction. 615 24$aAlgorithms. 615 24$aArtificial Intelligence. 615 24$aDigital Humanities. 615 24$aMathematics of Computing. 676 $a789.9 702 $aJohnson$b Colin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCiesielski$b Vic$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCorreia$b Joăo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMachado$b Penousal$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483383203321 996 $aEvolutionary and Biologically Inspired Music, Sound, Art and Design$91886552 997 $aUNINA