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2017 2nd Conference on Swarm Intelligence and Evolutionary Computation (CSIEC) / / Institute of Electrical and Electronics Engineers (IEEE)
| 2017 2nd Conference on Swarm Intelligence and Evolutionary Computation (CSIEC) / / Institute of Electrical and Electronics Engineers (IEEE) |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers (IEEE), , 2017 |
| Descrizione fisica | 1 online resource : illustrations |
| Disciplina | 005.432 |
| Soggetto topico |
Evolutionary computation
Swarm intelligence |
| ISBN | 1-5090-4330-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | 2017 2nd Conference on Swarm Intelligence and Evolutionary Computation |
| Record Nr. | UNINA-9910209348703321 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers (IEEE), , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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2017 2nd Conference on Swarm Intelligence and Evolutionary Computation (CSIEC) / / Institute of Electrical and Electronics Engineers (IEEE)
| 2017 2nd Conference on Swarm Intelligence and Evolutionary Computation (CSIEC) / / Institute of Electrical and Electronics Engineers (IEEE) |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers (IEEE), , 2017 |
| Descrizione fisica | 1 online resource : illustrations |
| Disciplina | 005.432 |
| Soggetto topico |
Evolutionary computation
Swarm intelligence |
| ISBN | 1-5090-4330-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | 2017 2nd Conference on Swarm Intelligence and Evolutionary Computation |
| Record Nr. | UNISA-996280472603316 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers (IEEE), , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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2018 IEEE Congress on Evolutionary Computation : 8-13 July 2018, Rio de Janeiro, Brazil / / IEEE Computational Intelligence Society
| 2018 IEEE Congress on Evolutionary Computation : 8-13 July 2018, Rio de Janeiro, Brazil / / IEEE Computational Intelligence Society |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 |
| Descrizione fisica | 1 online resource (348 pages) |
| Disciplina | 005.432 |
| Soggetto topico |
Evolutionary computation
Evolutionary programming (Computer science) Computational intelligence |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-5090-6017-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910287957603321 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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2018 IEEE Congress on Evolutionary Computation : 8-13 July 2018, Rio de Janeiro, Brazil / / IEEE Computational Intelligence Society
| 2018 IEEE Congress on Evolutionary Computation : 8-13 July 2018, Rio de Janeiro, Brazil / / IEEE Computational Intelligence Society |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 |
| Descrizione fisica | 1 online resource (348 pages) |
| Disciplina | 005.432 |
| Soggetto topico |
Evolutionary computation
Evolutionary programming (Computer science) Computational intelligence |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-5090-6017-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996280091503316 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advanced programming in the unix environment / W. Richard Stevens, Stephen A. Rago ; foreword by Dennis Ritchie
| Advanced programming in the unix environment / W. Richard Stevens, Stephen A. Rago ; foreword by Dennis Ritchie |
| Autore | Stevens, W. Richard |
| Edizione | [2. ed.] |
| Pubbl/distr/stampa | Upper Saddle Rider [NJ] : Addison-Wesley, c2005 |
| Descrizione fisica | XXVIII, 927 p. ; 25 cm |
| Disciplina | 005.432 |
| Altri autori (Persone) | Rago, Stephen |
| Soggetto non controllato | Elaboratori elettroniciSistema operativo unix |
| ISBN | 0-201-43307-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNIPARTHENOPE-000008285 |
Stevens, W. Richard
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| Upper Saddle Rider [NJ] : Addison-Wesley, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Parthenope | ||
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Advanced programming in the UNIX environment / W. Richard Stevens
| Advanced programming in the UNIX environment / W. Richard Stevens |
| Autore | Stevens, W. Richard |
| Pubbl/distr/stampa | Reading [etc.], : Addison-wesley, c1993 |
| Descrizione fisica | XVIII, 744 p. ; 25 cm. |
| Disciplina |
005.4
005.432 |
| Collana | Addison-Wesley professional computing series |
| Soggetto topico | ELABORATORI ELETTRONICI - Sistema operativo UNIX |
| ISBN | 0201563177 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISANNIO-TO01490650 |
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Stevens, W. Richard
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| Reading [etc.], : Addison-wesley, c1993 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Sannio | ||
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Alla scoperta di Unix : esplorare Gnu/Linux e MACos con la linea di comando / Franco Tommasi
| Alla scoperta di Unix : esplorare Gnu/Linux e MACos con la linea di comando / Franco Tommasi |
| Autore | Tommasi, Franco |
| Pubbl/distr/stampa | [S.l.S.n. ; c2021 |
| Descrizione fisica | xii, 247 p. : ill. ; 30 cm |
| Disciplina | 005.432 |
| Soggetto topico | UNIX (Computer file) |
| ISBN | 9791220082204 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991004268437407536 |
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Tommasi, Franco
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| [S.l.S.n. ; c2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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Applications of Evolutionary Computation [[electronic resource] ] : 23rd European Conference, EvoApplications 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / / edited by Pedro A. Castillo, Juan Luis Jiménez Laredo, Francisco Fernández de Vega
| Applications of Evolutionary Computation [[electronic resource] ] : 23rd European Conference, EvoApplications 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / / edited by Pedro A. Castillo, Juan Luis Jiménez Laredo, Francisco Fernández de Vega |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (xvii, 704 pages) : illustrations (some colour) |
| Disciplina | 005.432 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Computer networks Computer systems Computers Education—Data processing Theory of Computation Computer Communication Networks Computer System Implementation Computing Milieux Computers and Education |
| ISBN | 3-030-43722-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applications of Evolutionary Computation -- A Local Search for Numerical Optimisation based on Covariance Matrix Diagonalisation -- EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework in Python -- Optimizing the Hyperparameters of a Mixed Integer Linear Programming Solver to Speed Up Electric Vehicle Charging Control -- Automatic rule extraction from access rules using Genetic Programming -- Search Trajectory Networks of Population-based Algorithms in Continuous Spaces -- Evolving-controllers versus learning-controllers for morphologically evolvable robots -- Simulation-driven multi-objective evolution for traffic light optimization -- Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites -- EvoDynamic: a framework for the evolution of generally represented dynamical systems and its application to criticality -- A Decomposition-Based Evolutionary Algorithm with Adaptive Weight Vectors for Multi- and Many-objective Optimization -- Differential Evolution Multi-Objective for Tertiary Protein Structure Prediction -- Particle Swarm Optimization: A Wrapper-based Feature Selection Method for Ransomware Detection and Classification -- A method for estimating the computational complexity of multimodal functions -- Locating Odour Sources with Geometric Syntactic Genetic Programming -- Designing cable-stayed bridges with Genetic Algorithms -- A fast, scalable meta-heuristic for network slicing under traffic uncertainty -- What is Your MOVE: Modeling Adversarial Network Environments -- Using evolution to design modular robots: An empirical approach to select module designs -- Iterated Granular Neighborhood Algorithm for the Taxi Sharing Problem -- Applications of Bio-inspired techniques on Social Networks -- Multiobjective Optimization of a Targeted Vaccination Scheme in the Presence of Non-diagnosed Cases -- Community Detection in Attributed Graphs with Differential Evolution -- Applications of Deep Bioinspired Algorithms -- Fake news detection using time series and user features classification -- Social Learning vs Self-teaching in a Multi-agent Neural Network System -- Evolving Instinctive Behaviour in Resource-Constrained Autonomous Agents Using Grammatical Evolution -- An Adversarial Optimization Approach for the Development of Robust Controllers -- Soft Computing Applied to Games -- Efficient Heuristic Policy Optimisation for a Challenging Strategic Card Game -- Finding Behavioural Patterns Among League of Legends Players Through Hidden Markov Models -- Learning the Designer's Preferences to Drive Evolution -- Testing hybrid computational intelligence algorithms for general game playing -- Evolutionary Computation in Digital Healthcare and Personalized Medicine -- Accelerated Design of HIFU Treatment Plans Using Island-based Evolutionary Strategy -- Using Genetic Algorithms for the prediction of cognitive impairments -- Short and Medium Term Blood Glucose Prediction using Multi-Objective Grammatical Evolution -- Evolutionary Machine Learning -- A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks -- Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution -- An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution -- Using Skill Rating as Fitness on the Evolution of GANs -- A Local Search with a Surrogate Assisted Option for Instance Reduction -- Evolutionary Latent Space Exploration of Generative Adversarial Networks -- Neuro-Evolutionary Transfer Learning through Structural Adaptation -- Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks -- Parallel and Distributed Systems -- A MIMD interpreter for Genetic Programming -- Security Risk Optimization for Multi-Cloud Applications -- Using evolutionary algorithms for server hardening via the moving target defense technique -- An Event-based Architecture for Cross-Breed Multi-population Bio-inspired Optimization Algorithms. |
| Record Nr. | UNISA-996418220303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Applications of Evolutionary Computation [[electronic resource] ] : 23rd European Conference, EvoApplications 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / / edited by Pedro A. Castillo, Juan Luis Jiménez Laredo, Francisco Fernández de Vega
| Applications of Evolutionary Computation [[electronic resource] ] : 23rd European Conference, EvoApplications 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / / edited by Pedro A. Castillo, Juan Luis Jiménez Laredo, Francisco Fernández de Vega |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (xvii, 704 pages) : illustrations (some colour) |
| Disciplina | 005.432 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Computer networks Computer systems Computers Education—Data processing Theory of Computation Computer Communication Networks Computer System Implementation Computing Milieux Computers and Education |
| ISBN | 3-030-43722-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applications of Evolutionary Computation -- A Local Search for Numerical Optimisation based on Covariance Matrix Diagonalisation -- EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework in Python -- Optimizing the Hyperparameters of a Mixed Integer Linear Programming Solver to Speed Up Electric Vehicle Charging Control -- Automatic rule extraction from access rules using Genetic Programming -- Search Trajectory Networks of Population-based Algorithms in Continuous Spaces -- Evolving-controllers versus learning-controllers for morphologically evolvable robots -- Simulation-driven multi-objective evolution for traffic light optimization -- Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites -- EvoDynamic: a framework for the evolution of generally represented dynamical systems and its application to criticality -- A Decomposition-Based Evolutionary Algorithm with Adaptive Weight Vectors for Multi- and Many-objective Optimization -- Differential Evolution Multi-Objective for Tertiary Protein Structure Prediction -- Particle Swarm Optimization: A Wrapper-based Feature Selection Method for Ransomware Detection and Classification -- A method for estimating the computational complexity of multimodal functions -- Locating Odour Sources with Geometric Syntactic Genetic Programming -- Designing cable-stayed bridges with Genetic Algorithms -- A fast, scalable meta-heuristic for network slicing under traffic uncertainty -- What is Your MOVE: Modeling Adversarial Network Environments -- Using evolution to design modular robots: An empirical approach to select module designs -- Iterated Granular Neighborhood Algorithm for the Taxi Sharing Problem -- Applications of Bio-inspired techniques on Social Networks -- Multiobjective Optimization of a Targeted Vaccination Scheme in the Presence of Non-diagnosed Cases -- Community Detection in Attributed Graphs with Differential Evolution -- Applications of Deep Bioinspired Algorithms -- Fake news detection using time series and user features classification -- Social Learning vs Self-teaching in a Multi-agent Neural Network System -- Evolving Instinctive Behaviour in Resource-Constrained Autonomous Agents Using Grammatical Evolution -- An Adversarial Optimization Approach for the Development of Robust Controllers -- Soft Computing Applied to Games -- Efficient Heuristic Policy Optimisation for a Challenging Strategic Card Game -- Finding Behavioural Patterns Among League of Legends Players Through Hidden Markov Models -- Learning the Designer's Preferences to Drive Evolution -- Testing hybrid computational intelligence algorithms for general game playing -- Evolutionary Computation in Digital Healthcare and Personalized Medicine -- Accelerated Design of HIFU Treatment Plans Using Island-based Evolutionary Strategy -- Using Genetic Algorithms for the prediction of cognitive impairments -- Short and Medium Term Blood Glucose Prediction using Multi-Objective Grammatical Evolution -- Evolutionary Machine Learning -- A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks -- Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution -- An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution -- Using Skill Rating as Fitness on the Evolution of GANs -- A Local Search with a Surrogate Assisted Option for Instance Reduction -- Evolutionary Latent Space Exploration of Generative Adversarial Networks -- Neuro-Evolutionary Transfer Learning through Structural Adaptation -- Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks -- Parallel and Distributed Systems -- A MIMD interpreter for Genetic Programming -- Security Risk Optimization for Multi-Cloud Applications -- Using evolutionary algorithms for server hardening via the moving target defense technique -- An Event-based Architecture for Cross-Breed Multi-population Bio-inspired Optimization Algorithms. |
| Record Nr. | UNINA-9910409673803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 | ||
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