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Applications of Evolutionary Computation [[electronic resource] ] : EvoApplications 2012: EvoCOMNET, EvoCOMPLEX, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoNUM, EvoPAR, EvoRISK, EvoSTIM, and EvoSTOC, Málaga, Spain, April 11-13, 2012, Proceedings / / edited by Cecilia Di Chio, Alexandros Agapitos, Stefano Cagnoni, Carlos Cotta, Francisco Fernández de Vega, Gianni A. Di Caro, Rolf Drechsler, Anikó Ekárt, Anna I. Esparcia-Alcázar, Muddassar Farooq, W.B. Langdon, Juan-J. Merelo-Guervós, Mike Preuss, Hendrik Richter, Sara Silva, Anabela Simões, Giovanni Squillero, Ernesto Tarantino, Andrea Tettamanzi, Julian Togelius, Neil Urquhart, Sima Uyar, Georgios N. Yannakakis
Applications of Evolutionary Computation [[electronic resource] ] : EvoApplications 2012: EvoCOMNET, EvoCOMPLEX, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoNUM, EvoPAR, EvoRISK, EvoSTIM, and EvoSTOC, Málaga, Spain, April 11-13, 2012, Proceedings / / edited by Cecilia Di Chio, Alexandros Agapitos, Stefano Cagnoni, Carlos Cotta, Francisco Fernández de Vega, Gianni A. Di Caro, Rolf Drechsler, Anikó Ekárt, Anna I. Esparcia-Alcázar, Muddassar Farooq, W.B. Langdon, Juan-J. Merelo-Guervós, Mike Preuss, Hendrik Richter, Sara Silva, Anabela Simões, Giovanni Squillero, Ernesto Tarantino, Andrea Tettamanzi, Julian Togelius, Neil Urquhart, Sima Uyar, Georgios N. Yannakakis
Edizione [1st ed. 2012.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Descrizione fisica 1 online resource (xxv, 550 pages) : illustrations
Disciplina 004.0151
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Computer programming
Computer networks
Computer science—Mathematics
Computer vision
Artificial intelligence
Theory of Computation
Programming Techniques
Computer Communication Networks
Mathematical Applications in Computer Science
Computer Vision
Artificial Intelligence
ISBN 3-642-29178-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Optimizing Energy Consumption in Heterogeneous Wireless Sensor Networks by Means of Evolutionary Algorithms / José Manuel Lanza-Gutiérrez, Juan Antonio Gómez-Pulido, Miguel A. Vega-Rodríguez and Juan Manuel Sánchez-Pérez -- Network Protocol Discovery and Analysis via Live Interaction / Patrick LaRoche, A. Nur Zincir-Heywood and Malcolm I. Heywood -- Evolutionary Design of Active Free Space Optical Networks Based on Digital Mirror Devices / Steffen Limmer, Dietmar Fey, Ulrich Lohmann and Jürgen Jahns -- Frequency Robustness Optimization with Respect to Traffic Distribution for LTE System / Nourredine Tabia, Alexandre Gondran, Oumaya Baala and Alexandre Caminada -- Small-World Optimization Applied to Job Scheduling on Grid Environments from a Multi-Objective Perspective / María Arsuaga-Ríos, Francisco Prieto-Castrillo and Miguel A. Vega-Rodríguez -- Testing Diversity-Enhancing Migration Policies for Hybrid On-Line Evolution of Robot Controllers / Pablo García-Sánchez, A. E. Eiben, Evert Haasdijk, Berend Weel and Juan-Julián Merelo-Guervós -- Evolutionary Optimization of Pheromone-Based Stigmergic Communication / Tüze Kuyucu, Ivan Tanev and Katsunori Shimohara -- Hyperparameter Tuning in Bandit-Based Adaptive Operator Selection / Maciej Pacula, Jason Ansel, Saman Amarasinghe and Una-May O'Reilly -- $t Analyzing Dynamic Fitness Landscapes of the Targeting Problem of Chaotic Systems / Hendrik Richter --
Self-organization and Specialization in Multiagent Systems through Open-Ended Natural Evolution / Pedro Trueba, Abraham Prieto, Francisco Bellas, Pilar Caamaño and Richard J. Duro -- An Empirical Tool for Analysing the Collective Behaviour of Population-Based Algorithms / Mikdam Turkey and Riccardo Poli -- Sales Potential Optimization on Directed Social Networks: A Quasi-Parallel Genetic Algorithm Approach / Crown Guan Wang and Kwok Yip Szeto -- The Emergence of Multi-cellular Robot Organisms through On-Line On-Board Evolution / Berend Weel, Evert Haasdijk and A. E. Eiben -- Evolving Seasonal Forecasting Models with Genetic Programming in the Context of Pricing Weather-Derivatives / Alexandros Agapitos, Michael O'Neill and Anthony Brabazon -- Steepest Ascent Hill Climbing for Portfolio Selection / Jonathan Arriaga and Manuel Valenzuela-Rendón -- A Neuro-evolutionary Approach to Intraday Financial Modeling / Antonia Azzini, Mauro Dragoni and Andrea G. B. Tettamanzi -- A Comparative Study of Multi-objective Evolutionary Algorithms to Optimize the Selection of Investment Portfolios with Cardinality Constraints / Feijoo E. Colomine Duran, Carlos Cotta and Antonio J. Fernández-Leiva -- A GA Combining Technical and Fundamental Analysis for Trading the Stock Market / Iván Contreras, José Ignacio Hidalgo and Laura Núñez-Letamendia -- Evolutionary Data Selection for Enhancing Models of Intraday Forex Time Series / Michael Mayo -- Initial Results from Co-operative Co-evolution for Automated Platformer Design / Michael Cook, Simon Colton and Jeremy Gow --
Evolving Third-Person Shooter Enemies to Optimize Player Satisfaction in Real-Time / José M. Font -- Why Simulate? Hybrid Biological-Digital Games / Maarten H. Lamers and Wim van Eck -- Spicing Up Map Generation / Tobias Mahlmann, Julian Togelius and Georgios N. Yannakakis -- Dealing with Noisy Fitness in the Design of a RTS Game Bot / Antonio M. Mora, Antonio Fernández-Ares, Juan-Julián Merelo-Guervós and Pablo García-Sánchez -- On Modeling, Evaluating and Increasing Players' Satisfaction Quantitatively: Steps towards a Taxonomy / Mariela Nogueira, Carlos Cotta and Antonio J. Fernández-Leiva -- Monte-Carlo Tree Search for the Physical Travelling Salesman Problem / Diego Perez, Philipp Rohlfshagen and Simon M. Lucas -- Diversified Virtual Camera Composition / Mike Preuss, Paolo Burelli and Georgios N. Yannakakis -- Digging Deeper into Platform Game Level Design: Session Size and Sequential Features / Noor Shaker, Georgios N. Yannakakis and Julian Togelius -- Robot Base Disturbance Optimization with Compact Differential Evolution Light / Giovanni Iacca, Fabio Caraffini, Ferrante Neri and Ernesto Mininno -- Electrocardiographic Signal Classification with Evolutionary Artificial Neural Networks / Antonia Azzini, Mauro Dragoni and Andrea G. B. Tettamanzi -- A Genetic Fuzzy Rules Learning Approach for Unseeded Segmentation in Echography / Leonardo Bocchi and Francesco Rogai -- Object Recognition with an Optimized Ventral Stream Model Using Genetic Programming / Eddie Clemente, Gustavo Olague, León Dozal and Martín Mancilla --
Evolving Visual Attention Programs through EVO Features / León Dozal, Gustavo Olague, Eddie Clemente and Marco Sánchez -- Evolutionary Purposive or Behavioral Vision for Camera Trajectory Estimation / Daniel Hernández, Gustavo Olague, Eddie Clemente and León Dozal -- On Evolutionary Approaches to Unsupervised Nearest Neighbor Regression / Oliver Kramer -- Evolutionary Regression Machines for Precision Agriculture / Heikki Salo, Ville Tirronen and Ferrante Neri -- A Generic Approach to Parameter Control / Giorgos Karafotias, S. K. Smit and A. E. Eiben -- Applying (Hybrid) Metaheuristics to Fuel Consumption Optimization of Hybrid Electric Vehicles / Thorsten Krenek, Mario Ruthmair, Günther R. Raidl and Michael Planer -- Improved Topological Niching for Real-Valued Global Optimization / Mike Preuss -- Towards a Deeper Understanding of Trade-offs Using Multi-objective Evolutionary Algorithms / Pradyumn Kumar Shukla, Christian Hirsch and Hartmut Schmeck -- OpenCL Implementation of Particle Swarm Optimization: A Comparison between Multi-core CPU and GPU Performances / Stefano Cagnoni, Alessandro Bacchini and Luca Mussi -- A Library to Run Evolutionary Algorithms in the Cloud Using MapReduce / Pedro Fazenda, James McDermott and Una-May O'Reilly -- A Fair Comparison of Modern CPUs and GPUs Running the Genetic Algorithm under the Knapsack Benchmark / Jiri Jaros and Petr Pospichal -- Validating a Peer-to-Peer Evolutionary Algorithm / Juan Luis Jiménez Laredo, Pascal Bouvry, Sanaz Mostaghim and Juan-Julián Merelo-Guervós --
Pool-Based Distributed Evolutionary Algorithms Using an Object Database / Juan-Julián Merelo-Guervós, Antonio Mora, J. Albert Cruz and Anna I. Esparcia -- Migration and Replacement Policies for Preserving Diversity in Dynamic Environments / David Millán-Ruiz and José Ignacio Hidalgo -- Distributed Simulated Annealing with MapReduce / Atanas Radenski -- Flex-GP: Genetic Programming on the Cloud / Dylan Sherry, Kalyan Veeramachaneni, James McDermott and Una-May O'Reilly -- Customized Normalcy Profiles for the Detection of Targeted Attacks / Victor Skormin, Tomas Nykodym, Andrey Dolgikh and James Antonakos -- A Novel Multiobjective Formulation of the Robust Software Project Scheduling Problem / Francisco Chicano, Alejandro Cervantes, Francisco Luna and Gustavo Recio -- Optimizing the Unlimited Shift Generation Problem / Nico Kyngäs, Dries Goossens, Kimmo Nurmi and Jari Kyngäs -- Ant Colony Optimization with Immigrants Schemes for the Dynamic Vehicle Routing Problem / Michalis Mavrovouniotis and Shengxiang Yang -- Evolving Communication in Robotic Swarms Using On-Line, On-Board, Distributed Evolutionary Algorithms / Luis E. Pineda, A. E. Eiben and Marteen van Steen -- Virtual Loser Genetic Algorithm for Dynamic Environments / Anabela Simões and Ernesto Costa.
Record Nr. UNISA-996465989803316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Artificial Intelligence in Music, Sound, Art and Design [[electronic resource] ] : 9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / / edited by Juan Romero, Anikó Ekárt, Tiago Martins, João Correia
Artificial Intelligence in Music, Sound, Art and Design [[electronic resource] ] : 9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / / edited by Juan Romero, Anikó Ekárt, Tiago Martins, João Correia
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (238 pages) : illustrations
Disciplina 005.11
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Computer networks
Compilers (Computer programs)
Image processing—Digital techniques
Computer vision
Signal processing
Theory of Computation
Computer Communication Networks
Compilers and Interpreters
Computer Imaging, Vision, Pattern Recognition and Graphics
Signal, Speech and Image Processing
ISBN 3-030-43859-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A deep learning neural network for classifying good and bad photos -- Adapting and Enhancing Evolutionary Art for Casual Creation -- Comparing Fuzzy Rule Based Approaches for Music Genre Classification -- Quantum Zentanglement: Combining Picbreeder and Wave Function Collapse to Create Zentangles -- Emerging Technology System Evolution -- Fusion of Hilbert-Huang Transform and Deep Convolutional Neural Network for Predominant Musical Instruments Recognition -- Genetic Reverb: Synthesizing Artificial Reverberant Fields Via Genetic Algorithms -- Portraits of No One: An Interactive Installation -- Understanding Aesthetic Evaluation with Deep Learning -- An Aesthetic-Based Fitness Measure and a Framework for Guidance of Evolutionary Design in Architecture -- Objective Evaluation of Tonal Fitness for Chord Progressions -- Coevolving Artistic Images Using OMNIREP -- Sound Cells in Genetic Improvisation: An Evolutionary Model for Improvised Music -- Controlling Self-Organization in Generative Creative Systems -- Emulation Games. See and Be Seen, a Subjective Approach to Analog Computational Neuroscience.
Record Nr. UNISA-996418218203316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Artificial Intelligence in Music, Sound, Art and Design : 9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / / edited by Juan Romero, Anikó Ekárt, Tiago Martins, João Correia
Artificial Intelligence in Music, Sound, Art and Design : 9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / / edited by Juan Romero, Anikó Ekárt, Tiago Martins, João Correia
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (238 pages) : illustrations
Disciplina 005.11
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Computer networks
Compilers (Computer programs)
Image processing—Digital techniques
Computer vision
Signal processing
Theory of Computation
Computer Communication Networks
Compilers and Interpreters
Computer Imaging, Vision, Pattern Recognition and Graphics
Signal, Speech and Image Processing
ISBN 3-030-43859-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A deep learning neural network for classifying good and bad photos -- Adapting and Enhancing Evolutionary Art for Casual Creation -- Comparing Fuzzy Rule Based Approaches for Music Genre Classification -- Quantum Zentanglement: Combining Picbreeder and Wave Function Collapse to Create Zentangles -- Emerging Technology System Evolution -- Fusion of Hilbert-Huang Transform and Deep Convolutional Neural Network for Predominant Musical Instruments Recognition -- Genetic Reverb: Synthesizing Artificial Reverberant Fields Via Genetic Algorithms -- Portraits of No One: An Interactive Installation -- Understanding Aesthetic Evaluation with Deep Learning -- An Aesthetic-Based Fitness Measure and a Framework for Guidance of Evolutionary Design in Architecture -- Objective Evaluation of Tonal Fitness for Chord Progressions -- Coevolving Artistic Images Using OMNIREP -- Sound Cells in Genetic Improvisation: An Evolutionary Model for Improvised Music -- Controlling Self-Organization in Generative Creative Systems -- Emulation Games. See and Be Seen, a Subjective Approach to Analog Computational Neuroscience.
Record Nr. UNINA-9910409674303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Computational Intelligence in Music, Sound, Art and Design [[electronic resource] ] : 8th International Conference, EvoMUSART 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings / / edited by Anikó Ekárt, Antonios Liapis, María Luz Castro Pena
Computational Intelligence in Music, Sound, Art and Design [[electronic resource] ] : 8th International Conference, EvoMUSART 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings / / edited by Anikó Ekárt, Antonios Liapis, María Luz Castro Pena
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (X, 249 p. 113 illus., 78 illus. in color.)
Disciplina 005.11
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Artificial intelligence
Data mining
Computer arithmetic and logic units
Artificial Intelligence
Data Mining and Knowledge Discovery
Arithmetic and Logic Structures
ISBN 3-030-16667-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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. .
Record Nr. UNISA-996466274903316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computational Intelligence in Music, Sound, Art and Design : 8th International Conference, EvoMUSART 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings / / edited by Anikó Ekárt, Antonios Liapis, María Luz Castro Pena
Computational Intelligence in Music, Sound, Art and Design : 8th International Conference, EvoMUSART 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings / / edited by Anikó Ekárt, Antonios Liapis, María Luz Castro Pena
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (X, 249 p. 113 illus., 78 illus. in color.)
Disciplina 005.11
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Artificial intelligence
Data mining
Computer arithmetic and logic units
Artificial Intelligence
Data Mining and Knowledge Discovery
Arithmetic and Logic Structures
ISBN 3-030-16667-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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. .
Record Nr. UNINA-9910337850703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Computational Intelligence in Music, Sound, Art and Design [[electronic resource] ] : 7th International Conference, EvoMUSART 2018, Parma, Italy, April 4-6, 2018, Proceedings / / edited by Antonios Liapis, Juan Jesús Romero Cardalda, Anikó Ekárt
Computational Intelligence in Music, Sound, Art and Design [[electronic resource] ] : 7th International Conference, EvoMUSART 2018, Parma, Italy, April 4-6, 2018, Proceedings / / edited by Antonios Liapis, Juan Jesús Romero Cardalda, Anikó Ekárt
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (X, 315 p. 124 illus.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Artificial intelligence
Computer graphics
User interfaces (Computer systems)
Human-computer interaction
Artificial Intelligence
Computer Graphics
User Interfaces and Human Computer Interaction
ISBN 3-319-77583-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Visual art inspired by the collective feeding behavior of sand-bubbler crabs -- Dynamical Music with Musical Boolean Networks -- Non-photorealistic Rendering with Cartesian Genetic Programming using Graphics Processing Units -- Construction of a Repertoire of Analog Form-finding Techniques as a Basis for Computational Morphological Exploration in Design and Architecture -- Medical art therapy of the future: building an interactive virtual underwater world in a children's hospital -- Expressive Piano Music Playing Using a Kalman Filter -- Generative Solid Modelling Employing Natural Language Understanding and 3D Data -- evoExplore: Multiscale Visualization of Evolutionary Histories in Virtual Reality -- Musical Organisms: A generative approach to growing musical scores -- Generating Drum Rhythms Through Data-Driven Conceptual Blending of Features and Genetic Algorithms -- RoboJam: A Musical Mixture Density Network for Collaborative Touchscreen Interaction -- Towards a General Framework for Artistic Style Transfer -- Adaptive interface for mapping body movements to sounds -- On Collaborator Selection in Creative Agent Societies: An Evolutionary Art Case Study -- Towards Partially Automatic Search of Edge Bundling Parameters -- Co-Evolving Melodies and Harmonization in Evolutionary Music Composition -- Jewellery Design Optimisation using Genetic Algorithm: An Industrial Case Study of Halo Setting -- Learning as Performance: Autoencoding and Generating Dance Movements in Real Time -- Deep Interactive Evolution -- The Light Show: Flashing Fireflies Gathering and Flying over Digital Images -- Evotype: Towards the Evolution of Type Stencils.
Record Nr. UNISA-996465754703316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computational Intelligence in Music, Sound, Art and Design : 7th International Conference, EvoMUSART 2018, Parma, Italy, April 4-6, 2018, Proceedings / / edited by Antonios Liapis, Juan Jesús Romero Cardalda, Anikó Ekárt
Computational Intelligence in Music, Sound, Art and Design : 7th International Conference, EvoMUSART 2018, Parma, Italy, April 4-6, 2018, Proceedings / / edited by Antonios Liapis, Juan Jesús Romero Cardalda, Anikó Ekárt
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (X, 315 p. 124 illus.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Artificial intelligence
Computer graphics
User interfaces (Computer systems)
Human-computer interaction
Artificial Intelligence
Computer Graphics
User Interfaces and Human Computer Interaction
ISBN 3-319-77583-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Visual art inspired by the collective feeding behavior of sand-bubbler crabs -- Dynamical Music with Musical Boolean Networks -- Non-photorealistic Rendering with Cartesian Genetic Programming using Graphics Processing Units -- Construction of a Repertoire of Analog Form-finding Techniques as a Basis for Computational Morphological Exploration in Design and Architecture -- Medical art therapy of the future: building an interactive virtual underwater world in a children's hospital -- Expressive Piano Music Playing Using a Kalman Filter -- Generative Solid Modelling Employing Natural Language Understanding and 3D Data -- evoExplore: Multiscale Visualization of Evolutionary Histories in Virtual Reality -- Musical Organisms: A generative approach to growing musical scores -- Generating Drum Rhythms Through Data-Driven Conceptual Blending of Features and Genetic Algorithms -- RoboJam: A Musical Mixture Density Network for Collaborative Touchscreen Interaction -- Towards a General Framework for Artistic Style Transfer -- Adaptive interface for mapping body movements to sounds -- On Collaborator Selection in Creative Agent Societies: An Evolutionary Art Case Study -- Towards Partially Automatic Search of Edge Bundling Parameters -- Co-Evolving Melodies and Harmonization in Evolutionary Music Composition -- Jewellery Design Optimisation using Genetic Algorithm: An Industrial Case Study of Halo Setting -- Learning as Performance: Autoencoding and Generating Dance Movements in Real Time -- Deep Interactive Evolution -- The Light Show: Flashing Fireflies Gathering and Flying over Digital Images -- Evotype: Towards the Evolution of Type Stencils.
Record Nr. UNINA-9910349457503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Genetic Programming [[electronic resource] ] : 10th European Conference, EuroGP 2007, Valencia, Spain, April 11-13, 2007, Proceedings / / edited by Marc Ebner, Michael O'Neill, Anikó Ekárt, Leonardo Vanneschi, Anna Isabel Esparcia-Alcázar
Genetic Programming [[electronic resource] ] : 10th European Conference, EuroGP 2007, Valencia, Spain, April 11-13, 2007, Proceedings / / edited by Marc Ebner, Michael O'Neill, Anikó Ekárt, Leonardo Vanneschi, Anna Isabel Esparcia-Alcázar
Edizione [1st ed. 2007.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007
Descrizione fisica 1 online resource (XI, 382 p.)
Disciplina 005.1
Collana Theoretical Computer Science and General Issues
Soggetto topico Software engineering
Computer programming
Computer science
Algorithms
Pattern recognition systems
Artificial intelligence
Software Engineering
Programming Techniques
Theory of Computation
Automated Pattern Recognition
Artificial Intelligence
ISBN 3-540-71605-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Plenary Talks -- A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms -- An Empirical Boosting Scheme for ROC-Based Genetic Programming Classifiers -- Confidence Intervals for Computational Effort Comparisons -- Crossover Bias in Genetic Programming -- Density Estimation with Genetic Programming for Inverse Problem Solving -- Empirical Analysis of GP Tree-Fragments -- Empirical Comparison of Evolutionary Representations of the Inverse Problem for Iterated Function Systems -- Evolution of an Efficient Search Algorithm for the Mate-In-N Problem in Chess -- Fast Genetic Programming on GPUs -- FIFTHTM: A Stack Based GP Language for Vector Processing -- Genetic Programming with Fitness Based on Model Checking -- Geometric Particle Swarm Optimisation -- GP Classifier Problem Decomposition Using First-Price and Second-Price Auctions -- Layered Learning in Boolean GP Problems -- Mining Distributed Evolving Data Streams Using Fractal GP Ensembles -- Multi-objective Genetic Programming for Improving the Performance of TCP -- On Population Size and Neutrality: Facilitating the Evolution of Evolvability -- On the Limiting Distribution of Program Sizes in Tree-Based Genetic Programming -- Predicting Prime Numbers Using Cartesian Genetic Programming -- Real-Time, Non-intrusive Evaluation of VoIP -- Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach -- Posters -- A Comprehensive View of Fitness Landscapes with Neutrality and Fitness Clouds -- Analysing the Regularity of Genomes Using Compression and Expression Simplification -- Changing the Genospace: Solving GA Problems with Cartesian Genetic Programming -- Code Regulation in Open Ended Evolution -- Data Mining of Genetic Programming Run Logs -- Evolving a Statistics Class Using Object Oriented Evolutionary Programming -- Evolving Modular Recursive Sorting Algorithms -- Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP -- Genetic Programming Heuristics for Multiple Machine Scheduling -- Group-Foraging with Particle Swarms and Genetic Programming -- Multiple Interactive Outputs in a Single Tree: An Empirical Investigation -- Parsimony Doesn’t Mean Simplicity: Genetic Programming for Inductive Inference on Noisy Data -- The Holland Broadcast Language and the Modeling of Biochemical Networks -- The Induction of Finite Transducers Using Genetic Programming.
Record Nr. UNISA-996466060903316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Genetic Programming : 10th European Conference, EuroGP 2007, Valencia, Spain, April 11-13, 2007, Proceedings / / edited by Marc Ebner, Michael O'Neill, Anikó Ekárt, Leonardo Vanneschi, Anna Isabel Esparcia-Alcázar
Genetic Programming : 10th European Conference, EuroGP 2007, Valencia, Spain, April 11-13, 2007, Proceedings / / edited by Marc Ebner, Michael O'Neill, Anikó Ekárt, Leonardo Vanneschi, Anna Isabel Esparcia-Alcázar
Edizione [1st ed. 2007.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007
Descrizione fisica 1 online resource (XI, 382 p.)
Disciplina 005.1
Collana Theoretical Computer Science and General Issues
Soggetto topico Software engineering
Computer programming
Computer science
Algorithms
Pattern recognition systems
Artificial intelligence
Software Engineering
Programming Techniques
Theory of Computation
Automated Pattern Recognition
Artificial Intelligence
ISBN 3-540-71605-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Plenary Talks -- A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms -- An Empirical Boosting Scheme for ROC-Based Genetic Programming Classifiers -- Confidence Intervals for Computational Effort Comparisons -- Crossover Bias in Genetic Programming -- Density Estimation with Genetic Programming for Inverse Problem Solving -- Empirical Analysis of GP Tree-Fragments -- Empirical Comparison of Evolutionary Representations of the Inverse Problem for Iterated Function Systems -- Evolution of an Efficient Search Algorithm for the Mate-In-N Problem in Chess -- Fast Genetic Programming on GPUs -- FIFTHTM: A Stack Based GP Language for Vector Processing -- Genetic Programming with Fitness Based on Model Checking -- Geometric Particle Swarm Optimisation -- GP Classifier Problem Decomposition Using First-Price and Second-Price Auctions -- Layered Learning in Boolean GP Problems -- Mining Distributed Evolving Data Streams Using Fractal GP Ensembles -- Multi-objective Genetic Programming for Improving the Performance of TCP -- On Population Size and Neutrality: Facilitating the Evolution of Evolvability -- On the Limiting Distribution of Program Sizes in Tree-Based Genetic Programming -- Predicting Prime Numbers Using Cartesian Genetic Programming -- Real-Time, Non-intrusive Evaluation of VoIP -- Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach -- Posters -- A Comprehensive View of Fitness Landscapes with Neutrality and Fitness Clouds -- Analysing the Regularity of Genomes Using Compression and Expression Simplification -- Changing the Genospace: Solving GA Problems with Cartesian Genetic Programming -- Code Regulation in Open Ended Evolution -- Data Mining of Genetic Programming Run Logs -- Evolving a Statistics Class Using Object Oriented Evolutionary Programming -- Evolving Modular Recursive Sorting Algorithms -- Fitness Landscape Analysis and Image Filter Evolution Using Functional-Level CGP -- Genetic Programming Heuristics for Multiple Machine Scheduling -- Group-Foraging with Particle Swarms and Genetic Programming -- Multiple Interactive Outputs in a Single Tree: An Empirical Investigation -- Parsimony Doesn’t Mean Simplicity: Genetic Programming for Inductive Inference on Noisy Data -- The Holland Broadcast Language and the Modeling of Biochemical Networks -- The Induction of Finite Transducers Using Genetic Programming.
Record Nr. UNINA-9910767563603321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Genetic Programming [[electronic resource] ] : 9th European Conference, EuroGP 2006, Budapest, Hungary, April 10-12, 2006. Proceedings / / edited by Pierre Collet, Marco Tomassini, Marc Ebner, Steven Gustafson, Anikó Ekárt
Genetic Programming [[electronic resource] ] : 9th European Conference, EuroGP 2006, Budapest, Hungary, April 10-12, 2006. Proceedings / / edited by Pierre Collet, Marco Tomassini, Marc Ebner, Steven Gustafson, Anikó Ekárt
Edizione [1st ed. 2006.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Descrizione fisica 1 online resource (XII, 364 p.)
Disciplina 006.3/1
Collana Theoretical Computer Science and General Issues
Soggetto topico Software engineering
Computer programming
Computer science
Algorithms
Pattern recognition systems
Artificial intelligence
Software Engineering
Programming Techniques
Theory of Computation
Automated Pattern Recognition
Artificial Intelligence
ISBN 3-540-33144-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 802.11 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.
Record Nr. UNISA-996465821803316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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