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

• Record Nr.: UNINA9910409673803321
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
• ISBN: 3-030-43722-1
• Edizione: [1st ed. 2020.]
• Descrizione fisica: 1 online resource (xvii, 704 pages) : illustrations (some colour)
• Collana: Theoretical Computer Science and General Issues, , 2512-2029 ; ; 12104
• Disciplina: 005.432; 006.3823
• Soggetti: Computer science; Computer networks; Computer systems; Computers; Education—Data processing; Theory of Computation; Computer Communication Networks; Computer System Implementation; Computing Milieux; Computers and Education
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Includes index.
• Nota di bibliografia: Includes bibliographical references and index.
• 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.
• Sommario/riassunto: 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, Spain, in April 2020, co-located with the Evo*2020 events EuroGP, EvoMUSART and EvoCOP. The 44 full papers presented in this book were carefully reviewed and selected from 62 submissions. The papers cover a wide ; spectrum of topics, ranging from applications of bio-inspired techniques on social networks, evolutionary computation in digital healthcare and personalized medicine, soft-computing applied to games, applications of deep-bioinspired algorithms, parallel and distributed systems, and evolutionary machine learning.