Lecture Notes in Computer Science: Applications of Evolutionary Computation - 23rd European Conference, EvoApplications 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings - Taschenbuch
2020, ISBN: 9783030437213
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2020, ISBN: 9783030437213
This book constitutes the refereed proceedings of the 23rd European Conference on Applications of Evolutionary Computation, EvoApplications 2020, held as part of Evo*2020, in Seville, Spa… Mehr…
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2020, ISBN: 9783030437213
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2020, ISBN: 9783030437213
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Lecture Notes in Computer Science: Applications of Evolutionary Computation - 23rd European Conference, EvoApplications 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings - Taschenbuch
2020, ISBN: 9783030437213
[ED: Taschenbuch / Paperback], [PU: Springer Springer International Publishing Springer, Berlin], AUSFÜHRLICHERE BESCHREIBUNG: pThis book constitutes the refereed proceedings of the 23rd … Mehr…
2020, ISBN: 9783030437213
This book constitutes the refereed proceedings of the 23rd European Conference on Applications of Evolutionary Computation, EvoApplications 2020, held as part of Evo*2020, in Seville, Spa… Mehr…
2020
ISBN: 9783030437213
Taschenbuch
Springer, Taschenbuch, Auflage: 1st ed. 2020, 721 Seiten, Publiziert: 2020-03-11T00:00:01Z, Produktgruppe: Buch, Sozialwissenschaft, Kategorien, Bücher, Hardware & Technik, Computer & Int… Mehr…
2020, ISBN: 9783030437213
Taschenbuch
[ED: Kartoniert / Broschiert], [PU: Springer International Publishing], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitu… Mehr…
2020, ISBN: 9783030437213
23rd European Conference, EvoApplications 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15?17, 2020, Proceedings, Buch, Softcover, 1st ed. 2020, [PU: Springer International Pu… Mehr…
Bibliographische Daten des bestpassenden Buches
Detailangaben zum Buch - Applications of Evolutionary Computation by Pedro A. Castillo Paperback | Indigo Chapters
EAN (ISBN-13): 9783030437213
Taschenbuch
Erscheinungsjahr: 2020
Herausgeber: Pedro A. Castillo
Buch in der Datenbank seit 2020-04-04T17:52:18+02:00 (Berlin)
Detailseite zuletzt geändert am 2022-10-26T15:31:30+02:00 (Berlin)
ISBN/EAN: 9783030437213
ISBN - alternative Schreibweisen:
978-3-030-43721-3
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: fernandez, jimenez, castillo
Titel des Buches: seville, spain
Daten vom Verlag:
Autor/in: Pedro A. Castillo; Juan Luis Jiménez Laredo; Francisco Fernández de Vega
Titel: Lecture Notes in Computer Science; Theoretical Computer Science and General Issues; Applications of Evolutionary Computation - 23rd European Conference, EvoApplications 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings
Verlag: Springer; Springer International Publishing
704 Seiten
Erscheinungsjahr: 2020-03-11
Cham; CH
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
XVII, 704 p. 251 illus., 177 illus. in color.
BC; Hardcover, Softcover / Informatik, EDV/Informatik; Theoretische Informatik; Verstehen; bio-inspired optimization; evolutionary algorithms; evolutionary robotics; genetic algorithms; evolutionary machine learning softcomputing in games; parallel and distributed bio-inspired algorithms; computer networks; correlation analysis; bio-inspired health care information; evolutionary computation in digital healthcare; deep bio-inspired algorithms; engineering; engineering; mathematics; network protocols; optimization; optimization problems; signal processing; Theory of Computation; Computer Communication Networks; Computer System Implementation; Computing Milieux; Computers and Education; Netzwerk-Hardware; Systemanalyse und -design; Informationstechnik (IT), allgemeine Themen; Lehrmittel, Lerntechnologien, E-Learning; EA
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 usingtime 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.Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
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