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 | ||
|
Applications of Evolutionary Computation : 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
006.3823 |
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 | ||
|
Applications of Evolutionary Computation [[electronic resource] ] : 22nd International Conference, EvoApplications 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings / / edited by Paul Kaufmann, Pedro A. Castillo |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XIX, 642 p. 377 illus., 177 illus. in color.) |
Disciplina | 005.1 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Algorithms
Artificial intelligence Computer arithmetic and logic units Computer networks Computers, Special purpose Computer science—Mathematics Artificial Intelligence Arithmetic and Logic Structures Computer Communication Networks Special Purpose and Application-Based Systems Mathematics of Computing |
ISBN | 3-030-16692-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Engineering and Real World Applications -- Games -- General -- Image and Signal Processing -- Life Sciences -- Networks and Distributed Systems -- Neuroevolution and Data Analytics -- Numerical Optimization: Theory, Benchmarks, and Applications -- Robotics. |
Record Nr. | UNISA-996466277103316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Applications of Evolutionary Computation : 22nd International Conference, EvoApplications 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings / / edited by Paul Kaufmann, Pedro A. Castillo |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XIX, 642 p. 377 illus., 177 illus. in color.) |
Disciplina | 005.1 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Algorithms
Artificial intelligence Computer arithmetic and logic units Computer networks Computers, Special purpose Computer science—Mathematics Artificial Intelligence Arithmetic and Logic Structures Computer Communication Networks Special Purpose and Application-Based Systems Mathematics of Computing |
ISBN | 3-030-16692-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Engineering and Real World Applications -- Games -- General -- Image and Signal Processing -- Life Sciences -- Networks and Distributed Systems -- Neuroevolution and Data Analytics -- Numerical Optimization: Theory, Benchmarks, and Applications -- Robotics. |
Record Nr. | UNINA-9910337852003321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|