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Applications of Evolutionary Computation [[electronic resource] ] : 21st International Conference, EvoApplications 2018, Parma, Italy, April 4-6, 2018, Proceedings / / edited by Kevin Sim, Paul Kaufmann
| Applications of Evolutionary Computation [[electronic resource] ] : 21st International Conference, EvoApplications 2018, Parma, Italy, April 4-6, 2018, Proceedings / / edited by Kevin Sim, Paul Kaufmann |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXII, 917 p. 305 illus.) |
| Disciplina | 005.432 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Artificial intelligence Computer vision Pattern recognition systems Computer networks Computers, Special purpose Artificial Intelligence Computer Vision Automated Pattern Recognition Computer Communication Networks Special Purpose and Application-Based Systems |
| ISBN | 3-319-77538-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Volume Editors -- Preface -- Organization -- Contents -- EvoBAFIN -- Multi-objective Cooperative Coevolutionary Algorithm with Dynamic Species-Size Strategy -- Abstract -- 1 Introduction -- 2 Multi-objective CCA with Dynamic Problem Decomposition -- 2.1 Dynamic Species-Size -- 2.2 Dynamic Process -- 2.3 Collaborator Selection Method -- 2.4 DMOCCA Main Algorithm -- 3 Formulation of CCMVPOP -- 4 Computational Experiments -- 4.1 Data -- 4.2 Parameter Setting -- 4.3 Computational Results -- 4.4 Effects of Implementing the Dynamic Species-Size Strategy -- 5 Conclusions -- References -- EvoBIO -- Task Classification Using Topological Graph Features for Functional M/EEG Brain Connectomics -- 1 Introduction -- 2 Model Selection as an Optimization Problem -- 3 Models and Methods -- 4 Experiments and Results -- 5 Conclusions and Future Research Lines -- References -- Feature Selection for Detecting Gene-Gene Interactions in Genome-Wide Association Studies -- 1 Introduction -- 2 Methods -- 2.1 Datasets -- 2.2 Quantification of Pairwise Interactions Using Information Gain -- 2.3 Feature Selection Algorithms -- 3 Results -- 3.1 Feature Selection Algorithms on the Simulated Data -- 3.2 Feature Selection Algorithms on the CRC Data -- 4 Discussion -- References -- Fitness Functions Evaluation for Segmentation of Lymphoma Histological Images Using Genetic Algorithm -- 1 Introduction -- 2 Materials and Methods -- 2.1 Images Dataset -- 2.2 Proposed Algorithm -- 2.3 Evaluation Metrics -- 3 Results and Discussion -- 4 Conclusion -- References -- Mutual Information Iterated Local Search: A Wrapper-Filter Hybrid for Feature Selection in Brain Computer Interfaces -- 1 Introduction -- 2 Background -- 2.1 Filters -- 2.2 Wrappers -- 2.3 Hybrid Approaches -- 3 Proposed Method -- 3.1 Iterated Local Search.
3.2 Minimal Redundancy Maximal Relevance-Iterated Local Search -- 4 Methodology -- 4.1 Datasets -- 4.2 Features -- 4.3 Solution Size -- 4.4 Classifiers -- 5 Results and Discussion -- 6 Conclusion -- References -- Automatic Segmentation of Neurons in 3D Samples of Human Brain Cortex -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Sample Collection and Preparation -- 2.2 Imaging: Two-Photon Fluorescence Microscopy -- 2.3 Image Stitching -- 2.4 Pattern-Level Segmentation by CNN -- 3 Results -- 4 Discussion and Conclusion -- Acknowledgements -- References -- Analysis of Relevance and Redundance on Topoisomerase 2b (TOP2B) Binding Sites: A Feature Selection Approach -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data -- 2.2 Classification -- 2.3 Feature Selection -- 3 Experimental Results -- 3.1 Baseline Classification Results -- 3.2 Feature Selection -- 4 Feature Analysis -- 4.1 Baseline Classification -- 4.2 Feature Selection -- 5 Conclusions and Future Works -- References -- EvoCOMNET -- Multimodal Transportation Network Design Using Physarum Polycephalum-Inspired Multi-agent Computation Methods -- 1 Introduction -- 2 Previous Work -- 3 Research Methodology -- 3.1 Model Background -- 3.2 The Multimodal Physarum Model -- 4 Model Evaluation -- 4.1 Basic Network Performance Analysis -- 4.2 Implementation in Real-World Context -- 5 Conclusions and Future Research -- References -- Improving Multi-objective Evolutionary Influence Maximization in Social Networks -- 1 Introduction -- 2 Background and Related Work -- 2.1 Models for Influence Propagation and Problem Formulation -- 2.2 Existing Solutions for Influence Maximization -- 3 Proposed Approach -- 4 Experimental Evaluation -- 4.1 Benchmarks -- 4.2 Experimental Results -- 5 Conclusions -- References -- Social Relevance Index for Studying Communities in a Facebook Group of Patients. 1 Introduction -- 2 Related Works -- 3 The Relevance Index Approach -- 4 HyReSS: Hybrid Relevant Set Search -- 4.1 Genetic Algorithm -- 4.2 Variable Relevance-Based Local Search -- 4.3 Variable Frequency-Based Search -- 4.4 CRS Cardinality-Based Search -- 4.5 Merging -- 5 Experimental Results -- 5.1 Dataset Description -- 5.2 HyReSS Performances -- 5.3 Social Network Results -- 6 Conclusion -- References -- A Fast Metaheuristic for the Design of DVB-T2 Networks -- 1 Introduction -- 2 An Optimization Model for DVB-T2 Network Design -- 2.1 Strengthening the Formulation DVB-MILP -- 3 A Metaheuristic for DVB-T2 Network Design -- 3.1 Feasible Solution Construction -- 3.2 MILP Improvement Heuristic -- 3.3 The Complete Algorithm -- 4 Computational Tests -- 5 Conclusion and Future Work -- References -- EvoCOMPLEX -- A Genetic Algorithm for Community Detection in Attributed Graphs -- 1 Introduction -- 2 Problem Definition -- 3 @NetGA Description -- 4 Experimental Evaluation -- 4.1 Datasets -- 4.2 Algorithms in Comparison -- 4.3 Evaluation Measures -- 4.4 Results -- 5 Conclusion -- References -- Maximizing the Effect of Local Disturbance in the Dynamics of Opinion Formation -- Abstract -- 1 Introduction -- 2 Model -- 3 Genetic Algorithm -- 4 Result -- 5 Conclusion -- Acknowledgement -- References -- Accelerating the Computation of Solutions in Resource Allocation Problems Using an Evolutionary Approach and Multiagent Reinforcement Learning -- 1 Introduction -- 2 Multiagent Reinforcement Learning -- 3 Related Work -- 4 Methods: General Scheme -- 5 Methods: Specific Problem -- 5.1 Instantiation to a Congestion Game -- 5.2 Traffic Networks -- 6 Results -- 6.1 Network: OW -- 6.2 Network: SF -- 6.3 Network: Braess Paradox -- 6.4 Discussion -- 7 Conclusions and Future Work -- References -- EvoENERGY. Achieving Optimized Decisions on Battery Operating Strategies in Smart Buildings -- 1 Introduction -- 2 Related Work -- 3 Scenario and Setup: Smart Residential Building -- 3.1 Building Model and Battery Energy Storage System Model -- 3.2 Building Energy Management System -- 4 Battery System Controller: Approach and Optimization -- 4.1 Non-optimized and Optimized Operating Strategies -- 4.2 Integration into the Optimization -- 4.3 Handling of Uncertainty in Predictions -- 5 Results and Discussion -- 5.1 Exemplary Optimized Day -- 5.2 Discussion of the Results -- 6 Conclusion and Outlook -- References -- Phase-Space Sampling of Energy Ensembles with CMA-ES -- 1 Introduction -- 2 Scheduling and Flexibility Modeling -- 3 Phase Space Sampling -- 4 CMA-ES for Optimized Sampling -- 5 Results -- 6 Conclusion -- References -- Many-Objective Optimization of Mission and Hybrid Electric Power System of an Unmanned Aircraft -- Abstract -- 1 Introduction -- 1.1 Evolutionary Methods -- 2 The Optimization Problem -- 2.1 Inputs of the Optimization -- 2.2 Optimization Methods and Goals -- 3 Performance Analysis -- 3.1 Results of the Simplified Problem -- 3.2 Results of the Complete Problem (Many-Objective Optimization) -- 4 Discussion of the Results -- 5 Conclusions -- References -- Evolving Controllers for Electric Vehicle Charging -- 1 Introduction -- 2 Evolution of Controllers -- 3 Experiments -- 4 Conclusions and Future Work -- References -- Network Coordinated Evolution: Modeling and Control of Distributed Systems Through On-line Genetic PID-Control Optimization Search -- 1 Introduction -- 2 Problem Description -- 3 Network Coordinated Evolution -- 3.1 On-line Genetic Search Algorithm -- 3.2 Graph Database -- 4 Implementation -- 4.1 Genetic Search Implementation -- 4.2 Testbed Realization -- 5 Results -- 6 Conclusion -- References -- EvoGAMES. Piecemeal Evolution of a First Person Shooter Level -- 1 Introduction -- 2 Background Work on Map Sketches -- 3 Methodology -- 3.1 Evolving the Ground Floor -- 3.2 Creating the Top Floor from the Ground Floor -- 3.3 Evolving both Floors -- 3.4 Post-processing to Create the Final Room -- 4 Experiments -- 4.1 Comparing Level Structures -- 4.2 Comparing Level Patterns -- 5 Discussion -- 6 Conclusion -- References -- Online-Trained Fitness Approximators for Real-World Game Balancing -- 1 Introduction -- 1.1 Motivation -- 1.2 Previous Work -- 1.3 Structure -- 2 Methodology -- 2.1 Ms Pacman -- 2.2 TORCS -- 2.3 Genetic Algorithm -- 2.4 Approximator Integration -- 2.5 Neural Network -- 2.6 C4.5 Decision Trees -- 2.7 K-Nearest Neighbours -- 2.8 Experiments -- 3 Results -- 3.1 PacMan -- 3.2 TORCS -- 4 Discussion and Conclusion -- References -- Recomposing the Pokémon Color Palette -- 1 Introduction -- 2 Related Work -- 3 Processing the Pokémon Dataset -- 3.1 The Dataset -- 3.2 Decomposing Pokémon Sprites -- 3.3 Analysis of Pokémon Sprite Metrics -- 4 Building a Classifier for Pokémon Types -- 5 Evolving the Pokémon Pallette -- 5.1 Customizing a Single Pokémon -- 5.2 Removing a Pokémon Type -- 5.3 Balancing the Number of Pokémon Per Type -- 6 Discussion -- 7 Conclusion -- References -- Mapping Chess Aesthetics onto Procedurally Generated Chess-Like Games -- 1 Introduction -- 2 Background Work -- 2.1 Procedural Content Generation -- 2.2 Simplified Boardgames -- 3 Methodology -- 3.1 Strategic Metrics -- 3.2 Visual Metrics -- 3.3 Mapping from General Games to Chess -- 3.4 Representation -- 3.5 Evolution and Its Variants -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- Evolving a TORCS Modular Fuzzy Driver Using Genetic Algorithms -- 1 Introduction -- 2 State of the Art -- 3 Experimental Setup -- 3.1 The TORCS Simulator -- 3.2 Fuzzy Controller. 4 Optimizing the Fuzzy Controllers with GA. |
| Record Nr. | UNISA-996465744903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Applications of Evolutionary Computation : 21st International Conference, EvoApplications 2018, Parma, Italy, April 4-6, 2018, Proceedings / / edited by Kevin Sim, Paul Kaufmann
| Applications of Evolutionary Computation : 21st International Conference, EvoApplications 2018, Parma, Italy, April 4-6, 2018, Proceedings / / edited by Kevin Sim, Paul Kaufmann |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXII, 917 p. 305 illus.) |
| Disciplina | 005.432 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Artificial intelligence Computer vision Pattern recognition systems Computer networks Computers, Special purpose Artificial Intelligence Computer Vision Automated Pattern Recognition Computer Communication Networks Special Purpose and Application-Based Systems |
| ISBN | 3-319-77538-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Volume Editors -- Preface -- Organization -- Contents -- EvoBAFIN -- Multi-objective Cooperative Coevolutionary Algorithm with Dynamic Species-Size Strategy -- Abstract -- 1 Introduction -- 2 Multi-objective CCA with Dynamic Problem Decomposition -- 2.1 Dynamic Species-Size -- 2.2 Dynamic Process -- 2.3 Collaborator Selection Method -- 2.4 DMOCCA Main Algorithm -- 3 Formulation of CCMVPOP -- 4 Computational Experiments -- 4.1 Data -- 4.2 Parameter Setting -- 4.3 Computational Results -- 4.4 Effects of Implementing the Dynamic Species-Size Strategy -- 5 Conclusions -- References -- EvoBIO -- Task Classification Using Topological Graph Features for Functional M/EEG Brain Connectomics -- 1 Introduction -- 2 Model Selection as an Optimization Problem -- 3 Models and Methods -- 4 Experiments and Results -- 5 Conclusions and Future Research Lines -- References -- Feature Selection for Detecting Gene-Gene Interactions in Genome-Wide Association Studies -- 1 Introduction -- 2 Methods -- 2.1 Datasets -- 2.2 Quantification of Pairwise Interactions Using Information Gain -- 2.3 Feature Selection Algorithms -- 3 Results -- 3.1 Feature Selection Algorithms on the Simulated Data -- 3.2 Feature Selection Algorithms on the CRC Data -- 4 Discussion -- References -- Fitness Functions Evaluation for Segmentation of Lymphoma Histological Images Using Genetic Algorithm -- 1 Introduction -- 2 Materials and Methods -- 2.1 Images Dataset -- 2.2 Proposed Algorithm -- 2.3 Evaluation Metrics -- 3 Results and Discussion -- 4 Conclusion -- References -- Mutual Information Iterated Local Search: A Wrapper-Filter Hybrid for Feature Selection in Brain Computer Interfaces -- 1 Introduction -- 2 Background -- 2.1 Filters -- 2.2 Wrappers -- 2.3 Hybrid Approaches -- 3 Proposed Method -- 3.1 Iterated Local Search.
3.2 Minimal Redundancy Maximal Relevance-Iterated Local Search -- 4 Methodology -- 4.1 Datasets -- 4.2 Features -- 4.3 Solution Size -- 4.4 Classifiers -- 5 Results and Discussion -- 6 Conclusion -- References -- Automatic Segmentation of Neurons in 3D Samples of Human Brain Cortex -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Sample Collection and Preparation -- 2.2 Imaging: Two-Photon Fluorescence Microscopy -- 2.3 Image Stitching -- 2.4 Pattern-Level Segmentation by CNN -- 3 Results -- 4 Discussion and Conclusion -- Acknowledgements -- References -- Analysis of Relevance and Redundance on Topoisomerase 2b (TOP2B) Binding Sites: A Feature Selection Approach -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data -- 2.2 Classification -- 2.3 Feature Selection -- 3 Experimental Results -- 3.1 Baseline Classification Results -- 3.2 Feature Selection -- 4 Feature Analysis -- 4.1 Baseline Classification -- 4.2 Feature Selection -- 5 Conclusions and Future Works -- References -- EvoCOMNET -- Multimodal Transportation Network Design Using Physarum Polycephalum-Inspired Multi-agent Computation Methods -- 1 Introduction -- 2 Previous Work -- 3 Research Methodology -- 3.1 Model Background -- 3.2 The Multimodal Physarum Model -- 4 Model Evaluation -- 4.1 Basic Network Performance Analysis -- 4.2 Implementation in Real-World Context -- 5 Conclusions and Future Research -- References -- Improving Multi-objective Evolutionary Influence Maximization in Social Networks -- 1 Introduction -- 2 Background and Related Work -- 2.1 Models for Influence Propagation and Problem Formulation -- 2.2 Existing Solutions for Influence Maximization -- 3 Proposed Approach -- 4 Experimental Evaluation -- 4.1 Benchmarks -- 4.2 Experimental Results -- 5 Conclusions -- References -- Social Relevance Index for Studying Communities in a Facebook Group of Patients. 1 Introduction -- 2 Related Works -- 3 The Relevance Index Approach -- 4 HyReSS: Hybrid Relevant Set Search -- 4.1 Genetic Algorithm -- 4.2 Variable Relevance-Based Local Search -- 4.3 Variable Frequency-Based Search -- 4.4 CRS Cardinality-Based Search -- 4.5 Merging -- 5 Experimental Results -- 5.1 Dataset Description -- 5.2 HyReSS Performances -- 5.3 Social Network Results -- 6 Conclusion -- References -- A Fast Metaheuristic for the Design of DVB-T2 Networks -- 1 Introduction -- 2 An Optimization Model for DVB-T2 Network Design -- 2.1 Strengthening the Formulation DVB-MILP -- 3 A Metaheuristic for DVB-T2 Network Design -- 3.1 Feasible Solution Construction -- 3.2 MILP Improvement Heuristic -- 3.3 The Complete Algorithm -- 4 Computational Tests -- 5 Conclusion and Future Work -- References -- EvoCOMPLEX -- A Genetic Algorithm for Community Detection in Attributed Graphs -- 1 Introduction -- 2 Problem Definition -- 3 @NetGA Description -- 4 Experimental Evaluation -- 4.1 Datasets -- 4.2 Algorithms in Comparison -- 4.3 Evaluation Measures -- 4.4 Results -- 5 Conclusion -- References -- Maximizing the Effect of Local Disturbance in the Dynamics of Opinion Formation -- Abstract -- 1 Introduction -- 2 Model -- 3 Genetic Algorithm -- 4 Result -- 5 Conclusion -- Acknowledgement -- References -- Accelerating the Computation of Solutions in Resource Allocation Problems Using an Evolutionary Approach and Multiagent Reinforcement Learning -- 1 Introduction -- 2 Multiagent Reinforcement Learning -- 3 Related Work -- 4 Methods: General Scheme -- 5 Methods: Specific Problem -- 5.1 Instantiation to a Congestion Game -- 5.2 Traffic Networks -- 6 Results -- 6.1 Network: OW -- 6.2 Network: SF -- 6.3 Network: Braess Paradox -- 6.4 Discussion -- 7 Conclusions and Future Work -- References -- EvoENERGY. Achieving Optimized Decisions on Battery Operating Strategies in Smart Buildings -- 1 Introduction -- 2 Related Work -- 3 Scenario and Setup: Smart Residential Building -- 3.1 Building Model and Battery Energy Storage System Model -- 3.2 Building Energy Management System -- 4 Battery System Controller: Approach and Optimization -- 4.1 Non-optimized and Optimized Operating Strategies -- 4.2 Integration into the Optimization -- 4.3 Handling of Uncertainty in Predictions -- 5 Results and Discussion -- 5.1 Exemplary Optimized Day -- 5.2 Discussion of the Results -- 6 Conclusion and Outlook -- References -- Phase-Space Sampling of Energy Ensembles with CMA-ES -- 1 Introduction -- 2 Scheduling and Flexibility Modeling -- 3 Phase Space Sampling -- 4 CMA-ES for Optimized Sampling -- 5 Results -- 6 Conclusion -- References -- Many-Objective Optimization of Mission and Hybrid Electric Power System of an Unmanned Aircraft -- Abstract -- 1 Introduction -- 1.1 Evolutionary Methods -- 2 The Optimization Problem -- 2.1 Inputs of the Optimization -- 2.2 Optimization Methods and Goals -- 3 Performance Analysis -- 3.1 Results of the Simplified Problem -- 3.2 Results of the Complete Problem (Many-Objective Optimization) -- 4 Discussion of the Results -- 5 Conclusions -- References -- Evolving Controllers for Electric Vehicle Charging -- 1 Introduction -- 2 Evolution of Controllers -- 3 Experiments -- 4 Conclusions and Future Work -- References -- Network Coordinated Evolution: Modeling and Control of Distributed Systems Through On-line Genetic PID-Control Optimization Search -- 1 Introduction -- 2 Problem Description -- 3 Network Coordinated Evolution -- 3.1 On-line Genetic Search Algorithm -- 3.2 Graph Database -- 4 Implementation -- 4.1 Genetic Search Implementation -- 4.2 Testbed Realization -- 5 Results -- 6 Conclusion -- References -- EvoGAMES. Piecemeal Evolution of a First Person Shooter Level -- 1 Introduction -- 2 Background Work on Map Sketches -- 3 Methodology -- 3.1 Evolving the Ground Floor -- 3.2 Creating the Top Floor from the Ground Floor -- 3.3 Evolving both Floors -- 3.4 Post-processing to Create the Final Room -- 4 Experiments -- 4.1 Comparing Level Structures -- 4.2 Comparing Level Patterns -- 5 Discussion -- 6 Conclusion -- References -- Online-Trained Fitness Approximators for Real-World Game Balancing -- 1 Introduction -- 1.1 Motivation -- 1.2 Previous Work -- 1.3 Structure -- 2 Methodology -- 2.1 Ms Pacman -- 2.2 TORCS -- 2.3 Genetic Algorithm -- 2.4 Approximator Integration -- 2.5 Neural Network -- 2.6 C4.5 Decision Trees -- 2.7 K-Nearest Neighbours -- 2.8 Experiments -- 3 Results -- 3.1 PacMan -- 3.2 TORCS -- 4 Discussion and Conclusion -- References -- Recomposing the Pokémon Color Palette -- 1 Introduction -- 2 Related Work -- 3 Processing the Pokémon Dataset -- 3.1 The Dataset -- 3.2 Decomposing Pokémon Sprites -- 3.3 Analysis of Pokémon Sprite Metrics -- 4 Building a Classifier for Pokémon Types -- 5 Evolving the Pokémon Pallette -- 5.1 Customizing a Single Pokémon -- 5.2 Removing a Pokémon Type -- 5.3 Balancing the Number of Pokémon Per Type -- 6 Discussion -- 7 Conclusion -- References -- Mapping Chess Aesthetics onto Procedurally Generated Chess-Like Games -- 1 Introduction -- 2 Background Work -- 2.1 Procedural Content Generation -- 2.2 Simplified Boardgames -- 3 Methodology -- 3.1 Strategic Metrics -- 3.2 Visual Metrics -- 3.3 Mapping from General Games to Chess -- 3.4 Representation -- 3.5 Evolution and Its Variants -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- Evolving a TORCS Modular Fuzzy Driver Using Genetic Algorithms -- 1 Introduction -- 2 State of the Art -- 3 Experimental Setup -- 3.1 The TORCS Simulator -- 3.2 Fuzzy Controller. 4 Optimizing the Fuzzy Controllers with GA. |
| Record Nr. | UNINA-9910349457803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applications of Evolutionary Computation [[electronic resource] ] : 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part II / / edited by Giovanni Squillero, Kevin Sim
| Applications of Evolutionary Computation [[electronic resource] ] : 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part II / / edited by Giovanni Squillero, Kevin Sim |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXIV, 243 p. 57 illus.) |
| Disciplina | 005.1 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Artificial intelligence Computers, Special purpose Computer systems Microprocessors Computer architecture Logic design Artificial Intelligence Special Purpose and Application-Based Systems Computer System Implementation Processor Architectures Logic Design |
| ISBN | 3-319-55792-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | EvoSET: Hybrid Algorithms Based on Integer Programming for the Search of Prioritized Test Data in Software Product Lines -- On the Use of Smelly Examples to Detect Code Smells in JavaScript -- Deep Parameter Tuning of Concurrent Divide and Conquer Algorithms in Akka -- Focusing Learning-based Testing away from Known Weaknesses -- Polytypic Genetic Programming -- Evolving Rules for Action Selection in Automated Testing via Genetic Programming – A First Approach -- EvoSTOC: A New Multi-swarm Particle Swarm Optimization for Robust Optimization over Time -- The Static and Stochastic VRP with Time Windows and Both Random Customers and Reveal Times -- Pre-Scheduled Colony Size Variation in Dynamic Environments -- An Online Packing Heuristic for the Three-dimensional Container Loading Problem in Dynamic Environments and the Physical Internet -- Advancing Dynamic Evolutionary Optimization Using In-Memory Database Technology -- Road Traffic Rules Synthesis Using Grammatical Evolution -- Solving Dynamic Graph Coloring Problem Using Dynamic Pool Based Evolutionary Algorithm -- General: Meta-Heuristics for Improved RF Emitter Localization -- Automated Design of Genetic Programming Classification Algorithms Using a Genetic Algorithm. |
| Record Nr. | UNISA-996466202703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Applications of Evolutionary Computation [[electronic resource] ] : 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part I / / edited by Giovanni Squillero, Kevin Sim
| Applications of Evolutionary Computation [[electronic resource] ] : 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part I / / edited by Giovanni Squillero, Kevin Sim |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXIV, 905 p. 268 illus.) |
| Disciplina | 005.1 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Artificial intelligence Computers, Special purpose Computer systems Microprocessors Computer architecture Logic design Artificial Intelligence Special Purpose and Application-Based Systems Computer System Implementation Processor Architectures Logic Design |
| ISBN | 3-319-55849-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | EvoBAFIN: Minimization of Systemic Risk for Directed Network Using Genetic Algorithm -- Pricing Rainfall Based Futures Using Genetic Programming -- Dynamic Portfolio Optimization in Ultra-High Frequency Environment -- EvoBIO: Integration of Reaction Kinetics Theory and Gene Expression Programming to Infer Reaction Mechanism -- De Novo DNA Assembly with a Genetic Algorithm Finds Accurate Genomes Even with Suboptimal Fitness -- EVE: Cloud-based Annotation of Human Genetic Variants -- Improving the Reproducibility of Genetic Association Results Using Genotype Resampling Methods -- Objective Assessment of Cognitive Impairment in Parkinson’s Disease Using Evolutionary Algorithm -- Characterizing the Influence of Rule-based Knowledge Representations in Biological Knowledge Extraction from Transcriptomics Data -- Enhancing Grammatical Evolution through Data Augmentation: Application to Blood Glucose Forecasting -- Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification -- EvoCOMNET: Meta-heuristically Seeded Genetic Algorithm for Independent Job Scheduling in Grid Computing -- Analysis of Average Communicability in Complex Networks -- Configuring Dynamic Heterogeneous Wireless Communications Networks Using a Customized Genetic Algorithm -- Multi-Objective Evolutionary Algorithms for Influence Maximization in Social Networks -- A fast ILP-based Heuristic for the Robust Design of Body Wireless Sensor Networks -- EvoCOMPLEX: Lamarckian and Lifelong Memetic Search in Agent-based Computing -- Two-phase Strategy Managing Insensitivity in Global Optimization -- Avenues for the Use of Cellular Automata in Image Segmentation -- Local Misfit Approximation in Memetic Solving of Ill-posed Inverse Problems -- The Two Regimes of Neutral Evolution: Localization on Hubs and Delocalized Diffusion -- EvoENERGY: Adaptive Batteries Exploiting On-line Steady-State Evolution Strategy -- Hybrid Multi-Ensemble Scheduling -- EvoGAMES: Driving in TORCS Using Modular Fuzzy Controllers -- Automated Game Balancing in Ms Pacman and StarCraft Using Evolutionary Algorithms -- Evolving Game-specific UCB Alternatives for General Video Game Playing -- Relief Camp Manager: A Serious Game Using the World Health Organization's Relief Camp Guidelines -- Analyisis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing -- Darwin's Demons: Does Evolution Improve the Game -- EvoIASP: Evolutionary Art Using the Fly Algorithm -- Bagging and Feature Selection for Classification with Incomplete Data -- Surrogate-model Based Particle Swarm Optimization with Local Search for Feature Selection in Classification -- Feature Selection in High Dimensional Data by a Filter-Based Genetic Algorithm -- Brain Programming and the Random Search in Object Categorization -- Using Particle Swarm Optimization and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering -- EvoINDUSTRY: Container Vessel Stowage Planning System Using Genetic Algorithm -- The Artificial Immune Ecosystem: a Bio-inspired Meta-algorithm for Boosting Time Series Anomaly Detection with Expert Input -- Empirical Analysis of Optimization Methods for the Real-World Dial-a-Ride Problem -- EvoKNOW: Presenting the ECO: Evolutionary Computation Ontology -- A New Evolutionary Algorithm for Synchronization -- Large Scale Problems in Practice: The Effect of Dimensionality on the Interaction among Variables -- A Framework for Knowledge Integrated Evolutionary Algorithms -- DICE: A New Family of Bivariate Estimation of Distribution Algorithms Based on Dichotomized Multivariate Gaussian Distributions -- EvoNUM: Ranking Programming Languages for Evolutionary Algorithm Operations -- Distance-based Tournament Selection -- Preferences-Based Choice Prediction in Evolutionary Multi-Objective Optimization -- Numerical Optimization of ESA's Messenger Space Mission Benchmark -- EvoPAR: A VNS with Parallel Evaluation of Solutions for the Inverse Lighting Problem -- Evolving Cut-off Mechanisms and Other Work-Stealing Parameters for Parallel Programs -- Issues on GPU Parallel Implementation of Evolutionary High-dimensional Multi-objective Feature Selection -- Embedded Grammars for Grammatical Evolution on GPGPU -- A Performance Assessment of Evolutionary Algorithms in Volunteer Computing Environments: the Importance of Entropy -- EvoROBOT: Overcoming Initial Convergence in Multi-Objective Evolution of Robot Control and Morphology Using a Two-Phase Approach -- Evolutionary Adaptation to Social Information Use without Learning -- Interactive Evolution of Complex Behaviours through Skill Encapsulation -- Evolution and Morphogenesis of Simulated Modular Robots: A Comparison Between a Direct and Generative Encoding -- Continual and One-Shot Learning through Neural Networks with Dynamic External Memory. |
| Record Nr. | UNISA-996466202303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Applications of Evolutionary Computation : 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part II / / edited by Giovanni Squillero, Kevin Sim
| Applications of Evolutionary Computation : 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part II / / edited by Giovanni Squillero, Kevin Sim |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXIV, 243 p. 57 illus.) |
| Disciplina | 005.1 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Artificial intelligence Computers, Special purpose Computer systems Microprocessors Computer architecture Logic design Artificial Intelligence Special Purpose and Application-Based Systems Computer System Implementation Processor Architectures Logic Design |
| ISBN | 3-319-55792-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | EvoSET: Hybrid Algorithms Based on Integer Programming for the Search of Prioritized Test Data in Software Product Lines -- On the Use of Smelly Examples to Detect Code Smells in JavaScript -- Deep Parameter Tuning of Concurrent Divide and Conquer Algorithms in Akka -- Focusing Learning-based Testing away from Known Weaknesses -- Polytypic Genetic Programming -- Evolving Rules for Action Selection in Automated Testing via Genetic Programming – A First Approach -- EvoSTOC: A New Multi-swarm Particle Swarm Optimization for Robust Optimization over Time -- The Static and Stochastic VRP with Time Windows and Both Random Customers and Reveal Times -- Pre-Scheduled Colony Size Variation in Dynamic Environments -- An Online Packing Heuristic for the Three-dimensional Container Loading Problem in Dynamic Environments and the Physical Internet -- Advancing Dynamic Evolutionary Optimization Using In-Memory Database Technology -- Road Traffic Rules Synthesis Using Grammatical Evolution -- Solving Dynamic Graph Coloring Problem Using Dynamic Pool Based Evolutionary Algorithm -- General: Meta-Heuristics for Improved RF Emitter Localization -- Automated Design of Genetic Programming Classification Algorithms Using a Genetic Algorithm. |
| Record Nr. | UNINA-9910483382903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applications of Evolutionary Computation : 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part I / / edited by Giovanni Squillero, Kevin Sim
| Applications of Evolutionary Computation : 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part I / / edited by Giovanni Squillero, Kevin Sim |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXIV, 905 p. 268 illus.) |
| Disciplina | 005.1 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Artificial intelligence Computers, Special purpose Computer systems Microprocessors Computer architecture Logic design Artificial Intelligence Special Purpose and Application-Based Systems Computer System Implementation Processor Architectures Logic Design |
| ISBN | 3-319-55849-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | EvoBAFIN: Minimization of Systemic Risk for Directed Network Using Genetic Algorithm -- Pricing Rainfall Based Futures Using Genetic Programming -- Dynamic Portfolio Optimization in Ultra-High Frequency Environment -- EvoBIO: Integration of Reaction Kinetics Theory and Gene Expression Programming to Infer Reaction Mechanism -- De Novo DNA Assembly with a Genetic Algorithm Finds Accurate Genomes Even with Suboptimal Fitness -- EVE: Cloud-based Annotation of Human Genetic Variants -- Improving the Reproducibility of Genetic Association Results Using Genotype Resampling Methods -- Objective Assessment of Cognitive Impairment in Parkinson’s Disease Using Evolutionary Algorithm -- Characterizing the Influence of Rule-based Knowledge Representations in Biological Knowledge Extraction from Transcriptomics Data -- Enhancing Grammatical Evolution through Data Augmentation: Application to Blood Glucose Forecasting -- Genetic Programming Representations for Multi-dimensional Feature Learning in Biomedical Classification -- EvoCOMNET: Meta-heuristically Seeded Genetic Algorithm for Independent Job Scheduling in Grid Computing -- Analysis of Average Communicability in Complex Networks -- Configuring Dynamic Heterogeneous Wireless Communications Networks Using a Customized Genetic Algorithm -- Multi-Objective Evolutionary Algorithms for Influence Maximization in Social Networks -- A fast ILP-based Heuristic for the Robust Design of Body Wireless Sensor Networks -- EvoCOMPLEX: Lamarckian and Lifelong Memetic Search in Agent-based Computing -- Two-phase Strategy Managing Insensitivity in Global Optimization -- Avenues for the Use of Cellular Automata in Image Segmentation -- Local Misfit Approximation in Memetic Solving of Ill-posed Inverse Problems -- The Two Regimes of Neutral Evolution: Localization on Hubs and Delocalized Diffusion -- EvoENERGY: Adaptive Batteries Exploiting On-line Steady-State Evolution Strategy -- Hybrid Multi-Ensemble Scheduling -- EvoGAMES: Driving in TORCS Using Modular Fuzzy Controllers -- Automated Game Balancing in Ms Pacman and StarCraft Using Evolutionary Algorithms -- Evolving Game-specific UCB Alternatives for General Video Game Playing -- Relief Camp Manager: A Serious Game Using the World Health Organization's Relief Camp Guidelines -- Analyisis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing -- Darwin's Demons: Does Evolution Improve the Game -- EvoIASP: Evolutionary Art Using the Fly Algorithm -- Bagging and Feature Selection for Classification with Incomplete Data -- Surrogate-model Based Particle Swarm Optimization with Local Search for Feature Selection in Classification -- Feature Selection in High Dimensional Data by a Filter-Based Genetic Algorithm -- Brain Programming and the Random Search in Object Categorization -- Using Particle Swarm Optimization and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering -- EvoINDUSTRY: Container Vessel Stowage Planning System Using Genetic Algorithm -- The Artificial Immune Ecosystem: a Bio-inspired Meta-algorithm for Boosting Time Series Anomaly Detection with Expert Input -- Empirical Analysis of Optimization Methods for the Real-World Dial-a-Ride Problem -- EvoKNOW: Presenting the ECO: Evolutionary Computation Ontology -- A New Evolutionary Algorithm for Synchronization -- Large Scale Problems in Practice: The Effect of Dimensionality on the Interaction among Variables -- A Framework for Knowledge Integrated Evolutionary Algorithms -- DICE: A New Family of Bivariate Estimation of Distribution Algorithms Based on Dichotomized Multivariate Gaussian Distributions -- EvoNUM: Ranking Programming Languages for Evolutionary Algorithm Operations -- Distance-based Tournament Selection -- Preferences-Based Choice Prediction in Evolutionary Multi-Objective Optimization -- Numerical Optimization of ESA's Messenger Space Mission Benchmark -- EvoPAR: A VNS with Parallel Evaluation of Solutions for the Inverse Lighting Problem -- Evolving Cut-off Mechanisms and Other Work-Stealing Parameters for Parallel Programs -- Issues on GPU Parallel Implementation of Evolutionary High-dimensional Multi-objective Feature Selection -- Embedded Grammars for Grammatical Evolution on GPGPU -- A Performance Assessment of Evolutionary Algorithms in Volunteer Computing Environments: the Importance of Entropy -- EvoROBOT: Overcoming Initial Convergence in Multi-Objective Evolution of Robot Control and Morphology Using a Two-Phase Approach -- Evolutionary Adaptation to Social Information Use without Learning -- Interactive Evolution of Complex Behaviours through Skill Encapsulation -- Evolution and Morphogenesis of Simulated Modular Robots: A Comparison Between a Direct and Generative Encoding -- Continual and One-Shot Learning through Neural Networks with Dynamic External Memory. |
| Record Nr. | UNINA-9910483837103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Genetic Programming [[electronic resource] ] : 19th European Conference, EuroGP 2016, Porto, Portugal, March 30 - April 1, 2016, Proceedings / / edited by Malcolm I. Heywood, James McDermott, Mauro Castelli, Ernesto Costa, Kevin Sim
| Genetic Programming [[electronic resource] ] : 19th European Conference, EuroGP 2016, Porto, Portugal, March 30 - April 1, 2016, Proceedings / / edited by Malcolm I. Heywood, James McDermott, Mauro Castelli, Ernesto Costa, Kevin Sim |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XII, 311 p. 96 illus.) |
| Disciplina | 006.3823 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Computer science Artificial intelligence Application software Computer science—Mathematics Discrete mathematics Theory of Computation Artificial Intelligence Computer and Information Systems Applications Discrete Mathematics in Computer Science |
| ISBN | 3-319-30668-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466021003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Genetic Programming : 19th European Conference, EuroGP 2016, Porto, Portugal, March 30 - April 1, 2016, Proceedings / / edited by Malcolm I. Heywood, James McDermott, Mauro Castelli, Ernesto Costa, Kevin Sim
| Genetic Programming : 19th European Conference, EuroGP 2016, Porto, Portugal, March 30 - April 1, 2016, Proceedings / / edited by Malcolm I. Heywood, James McDermott, Mauro Castelli, Ernesto Costa, Kevin Sim |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XII, 311 p. 96 illus.) |
| Disciplina | 006.3823 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Computer science Artificial intelligence Application software Computer science—Mathematics Discrete mathematics Theory of Computation Artificial Intelligence Computer and Information Systems Applications Discrete Mathematics in Computer Science |
| ISBN | 3-319-30668-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910484963803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Genetic Programming [[electronic resource] ] : 18th European Conference, EuroGP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings / / edited by Penousal Machado, Malcolm I. Heywood, James McDermott, Mauro Castelli, Pablo García-Sánchez, Paolo Burelli, Sebastian Risi, Kevin Sim
| Genetic Programming [[electronic resource] ] : 18th European Conference, EuroGP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings / / edited by Penousal Machado, Malcolm I. Heywood, James McDermott, Mauro Castelli, Pablo García-Sánchez, Paolo Burelli, Sebastian Risi, Kevin Sim |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XII, 231 p. 56 illus.) |
| Disciplina | 005.1 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Computer science Artificial intelligence Application software Computer science—Mathematics Discrete mathematics Theory of Computation Artificial Intelligence Computer and Information Systems Applications Discrete Mathematics in Computer Science |
| ISBN | 3-319-16501-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | The Effect of Distinct Geometric Semantic Crossover Operators in Regression Problems -- Learning Text Patterns Using Separate-and-Conquer Genetic Programming -- Improving Geometric Semantic Genetic Programming with Safe Tree Initialisation -- Grant Dick On the Generalization Ability of Geometric Semantic Genetic Programming -- Automatic Derivation of Search Objectives for Test-Based Genetic Programming -- Evolutionary Design of Transistor Level Digital Circuits Using Discrete Simulation -- M3GP – Multiclass Classification with GP -- Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling -- Attributed Grammatical Evolution Using Shared Memory Spaces and Dynamically Typed Semantic Function Specification -- Indirectly Encoded Fitness Predictors Coevolved with Cartesian Programs -- Tapped Delay Lines for GP Streaming Data Classification with Label Budgets -- Cartesian GP in Optimization of Combinational Circuits with Hundreds of Inputs and Thousands of Gates -- Genetic Programming for Feature Selection and Question-Answer Ranking in IBM Watson -- Automatic Evolution of Parallel Recursive Programs -- Proposal and Preliminary Investigation of a Fitness Function for Partial Differential Models -- Evolutionary Methods for the Construction of Cryptographic Boolean Functions -- TEMPLAR – A Framework for Template-Method Hyper-Heuristics -- Circuit Approximation Using Single- and Multi-objective Cartesian GP. |
| Record Nr. | UNISA-996200344503316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Genetic Programming : 18th European Conference, EuroGP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings / / edited by Penousal Machado, Malcolm I. Heywood, James McDermott, Mauro Castelli, Pablo García-Sánchez, Paolo Burelli, Sebastian Risi, Kevin Sim
| Genetic Programming : 18th European Conference, EuroGP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings / / edited by Penousal Machado, Malcolm I. Heywood, James McDermott, Mauro Castelli, Pablo García-Sánchez, Paolo Burelli, Sebastian Risi, Kevin Sim |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XII, 231 p. 56 illus.) |
| Disciplina | 005.1 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Computer science Artificial intelligence Application software Computer science—Mathematics Discrete mathematics Theory of Computation Artificial Intelligence Computer and Information Systems Applications Discrete Mathematics in Computer Science |
| ISBN | 3-319-16501-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | The Effect of Distinct Geometric Semantic Crossover Operators in Regression Problems -- Learning Text Patterns Using Separate-and-Conquer Genetic Programming -- Improving Geometric Semantic Genetic Programming with Safe Tree Initialisation -- Grant Dick On the Generalization Ability of Geometric Semantic Genetic Programming -- Automatic Derivation of Search Objectives for Test-Based Genetic Programming -- Evolutionary Design of Transistor Level Digital Circuits Using Discrete Simulation -- M3GP – Multiclass Classification with GP -- Evolving Ensembles of Dispatching Rules Using Genetic Programming for Job Shop Scheduling -- Attributed Grammatical Evolution Using Shared Memory Spaces and Dynamically Typed Semantic Function Specification -- Indirectly Encoded Fitness Predictors Coevolved with Cartesian Programs -- Tapped Delay Lines for GP Streaming Data Classification with Label Budgets -- Cartesian GP in Optimization of Combinational Circuits with Hundreds of Inputs and Thousands of Gates -- Genetic Programming for Feature Selection and Question-Answer Ranking in IBM Watson -- Automatic Evolution of Parallel Recursive Programs -- Proposal and Preliminary Investigation of a Fitness Function for Partial Differential Models -- Evolutionary Methods for the Construction of Cryptographic Boolean Functions -- TEMPLAR – A Framework for Template-Method Hyper-Heuristics -- Circuit Approximation Using Single- and Multi-objective Cartesian GP. |
| Record Nr. | UNINA-9910484875503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
