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Fundamental Approaches to Software Engineering: 23rd International Conference, Fase 2020, Held as Part of the European Joint Conferences on Theory and, Wehrheim Heike, Cabot Jordi


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Цена: 5589.00р.
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При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Wehrheim Heike, Cabot Jordi
Название:  Fundamental Approaches to Software Engineering: 23rd International Conference, Fase 2020, Held as Part of the European Joint Conferences on Theory and
ISBN: 9783030452339
Издательство: Springer
Классификация:




ISBN-10: 3030452336
Обложка/Формат: Paperback
Страницы: 552
Вес: 0.78 кг.
Дата издания: 21.04.2020
Серия: Theoretical computer science and general issues
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 1 illustrations, black and white; xiii, 552 p. 1 illus.
Размер: 23.39 x 15.60 x 2.92 cm
Читательская аудитория: Professional & vocational
Подзаголовок: 23rd international conference, fase 2020, held as part of the european joint conferences on theory and practice of software, etaps 2020, dublin, ireland, april 25-30, 2020, proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Requirements engineering.- Software architectures.- Specification.- Software quality.- Validation.- Verification of functional and non-functional properties.- Model-driven development and model transformation.- Software processes.- Security and software evolution.


Foundations of Software Science and Computation Structures: 23rd International Conference, Fossacs 2020, Held as Part of the European Joint Conference

Автор: Goubault-Larrecq Jean, Kцnig Barbara
Название: Foundations of Software Science and Computation Structures: 23rd International Conference, Fossacs 2020, Held as Part of the European Joint Conference
ISBN: 3030452301 ISBN-13(EAN): 9783030452308
Издательство: Springer
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Цена: 5589.00 р.
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Описание: This book discusses the applications of fracture mechanics in the design and maintenance of asphalt concrete overlays. It also reviews relevant numerical and experimental studies, and describes in detail design parameters such as aggregate type, air void, loading mode, and additives, based on the authors experience and that of other researchers.

Genetic Programming: 23rd European Conference, Eurogp 2020, Held as Part of Evostar 2020, Seville, Spain, April 15-17, 2020, Proceedings

Автор: Hu Ting, Lourenзo Nuno, Medvet Eric
Название: Genetic Programming: 23rd European Conference, Eurogp 2020, Held as Part of Evostar 2020, Seville, Spain, April 15-17, 2020, Proceedings
ISBN: 3030440931 ISBN-13(EAN): 9783030440930
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Hessian Complexity Measure for Genetic Programming-based Imputation Predictor Selection in Symbolic Regression with Incomplete Data.- Seeding Grammars in Grammatical Evolution to Improve Search Based Software Testing.- Incremental Evolution and Development of Deep Artificial Neural Networks.- Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming.- Comparing Genetic Programming Approaches for Non-Functional Genetic Improvement.- Automatically Evolving Lookup Tables for Function Approximation.- Optimising Optimisers with Push GP.- An Evolutionary View on Reversible Shift-invariant Transformations.- Benchmarking Manifold Learning Methods on a Large Collection of Datasets.- Ensemble Genetic Programming.- SGP-DT: Semantic Genetic Programming Based on Dynamic Targets.- Effect of Parent Selection Methods on Modularity.- Time Control or Size Control? Reducing Complexity and Improving Accuracy of Genetic Programming Models.- Challenges of Program Synthesis with Grammatical Evolution.- Detection of Frailty Using Genetic Programming: The Case of Older People in Piedmont, Italy.- Is k Nearest Neighbours Regression Better than GP.- Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling.- Classification of Autism Genes using Network Science and Linear Genetic Programming.

Applications of Evolutionary Computation: 23rd European Conference, Evoapplications 2020, Held as Part of Evostar 2020, Seville, Spain, April 15-17, 2

Автор: Castillo Pedro A., Jimйnez Laredo Juan Luis, Fernбndez de Vega Francisco
Название: Applications of Evolutionary Computation: 23rd European Conference, Evoapplications 2020, Held as Part of Evostar 2020, Seville, Spain, April 15-17, 2
ISBN: 3030437213 ISBN-13(EAN): 9783030437213
Издательство: Springer
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Цена: 6986.00 р.
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Описание: 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.


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