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Analysis of Images, Social Networks and Texts [[electronic resource] ] : 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers / / edited by Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Khachay, Valentina Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina
| Analysis of Images, Social Networks and Texts [[electronic resource] ] : 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers / / edited by Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Khachay, Valentina Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XX, 354 p. 197 illus., 61 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Data mining
Machine learning Application software Computers Optical data processing Data Mining and Knowledge Discovery Machine Learning Information Systems Applications (incl. Internet) Computer Appl. in Social and Behavioral Sciences Computing Milieux Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-030-39575-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | General Topics of Data Analysis -- Natural Language Processing -- Social Network Analysis -- Analysis of Images and Video -- Optimization Problems on Graphs and Network Structures -- Analysis of Dynamic Behaviour through Event Data. |
| Record Nr. | UNINA-9910380746903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Analysis of Images, Social Networks and Texts [[electronic resource] ] : 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers / / edited by Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Khachay, Valentina Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina
| Analysis of Images, Social Networks and Texts [[electronic resource] ] : 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers / / edited by Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Khachay, Valentina Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XX, 354 p. 197 illus., 61 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Data mining
Machine learning Application software Computers Optical data processing Data Mining and Knowledge Discovery Machine Learning Information Systems Applications (incl. Internet) Computer Appl. in Social and Behavioral Sciences Computing Milieux Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-030-39575-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | General Topics of Data Analysis -- Natural Language Processing -- Social Network Analysis -- Analysis of Images and Video -- Optimization Problems on Graphs and Network Structures -- Analysis of Dynamic Behaviour through Event Data. |
| Record Nr. | UNISA-996465457303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Applications of Evolutionary Computation [[electronic resource] ] : 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings, Part I / / edited by Stephen Smith, João Correia, Christian Cintrano
| Applications of Evolutionary Computation [[electronic resource] ] : 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings, Part I / / edited by Stephen Smith, João Correia, Christian Cintrano |
| Autore | Smith Stephen |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (460 pages) |
| Disciplina | 004.0151 |
| Altri autori (Persone) |
CorreiaJoão
CintranoChristian |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computers Computer networks Computers, Special purpose Computer systems Computer science - Mathematics Theory of Computation Computing Milieux Computer Communication Networks Special Purpose and Application-Based Systems Computer System Implementation Mathematics of Computing |
| ISBN | 3-031-56852-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applications of Evolutionary Computation: Finding Near-Optimal Portfolios With Quality-Diversity -- Improving Image Filter Efficiency: A Multi-Objective Genetic Algorithm Approach to Optimize Computing Efficiency -- Low-Memory Matrix Adaptation Evolution Strategies exploiting gradient information and Lévy flight -- Memory Based Evolutionary Algorithm for Dynamic Aircraft Conflict Resolution -- GM4OS: an Evolutionary Oversampling Approach for Imbalanced Binary Classification Tasks -- Evolving Staff Training Schedules using an Extensible Fitness Function and a Domain Specific Language -- On the Utility of Probing Trajectories for Algorithm-Selection -- Nature-inspired Portfolio Diversification using Ant Brood Clustering -- Cellular Genetic Algorithms for identifying variables in hybrid Gene Regulatory Networks.-Evolving Artificial Neural Networks for Simulating Fish Social Interactions -- Heuristics for Evolutionary Optimization for the Centered Bin Packing Problem -- A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control -- Evolutionary Algorithms for Optimizing Emergency Exit Placement in Indoor Environments -- Finding sets of solutions for temporal uncertain problems -- Interpretable Solutions for Breast Cancer Diagnosis with Grammatical Evolution and Data Augmentation -- Applying Graph Partitioning-Based Seeding Strategies to Software Modularisation -- A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks -- Iterated Beam Search for Wildland Fire Suppression -- A New Angle: On Evolving Rotation Symmetric Boolean Functions -- Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications: On the Potential of Multi-Objective Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimisation Problems -- A Simple Statistical Test Against Origin-Biased Metaheuristics -- Computational Intelligence for Sustainability: Optimizing Urban Infrastructure for E-Scooter Mobility -- Evolutionary Computation in Edge, Fog, and Cloud Computing: Simple Efficient Evolutionary Ensemble Learning on Network Intrusion Detection Benchmarks -- Evolutionary Computation meets Stream Processing -- Evolutionary Computation in Image Analysis, Signal Processing and Pattern Recognition: Integrating Data Augmentation in Evolutionary Algorithms for Feature Selection: A Preliminary Study -- Evolving Feature Extraction Models for Melanoma Detection: A Co-operative Co-evolution Approach -- 3D Motion Analysis in MRI using a Multi-objective Evolutionary k -means Clustering. |
| Record Nr. | UNISA-996589544803316 |
Smith Stephen
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Applications of Evolutionary Computation [[electronic resource] ] : 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings, Part I / / edited by Stephen Smith, João Correia, Christian Cintrano
| Applications of Evolutionary Computation [[electronic resource] ] : 27th European Conference, EvoApplications 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings, Part I / / edited by Stephen Smith, João Correia, Christian Cintrano |
| Autore | Smith Stephen |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (460 pages) |
| Disciplina | 004.0151 |
| Altri autori (Persone) |
CorreiaJoão
CintranoChristian |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computers Computer networks Computers, Special purpose Computer systems Computer science - Mathematics Theory of Computation Computing Milieux Computer Communication Networks Special Purpose and Application-Based Systems Computer System Implementation Mathematics of Computing |
| ISBN | 3-031-56852-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applications of Evolutionary Computation: Finding Near-Optimal Portfolios With Quality-Diversity -- Improving Image Filter Efficiency: A Multi-Objective Genetic Algorithm Approach to Optimize Computing Efficiency -- Low-Memory Matrix Adaptation Evolution Strategies exploiting gradient information and Lévy flight -- Memory Based Evolutionary Algorithm for Dynamic Aircraft Conflict Resolution -- GM4OS: an Evolutionary Oversampling Approach for Imbalanced Binary Classification Tasks -- Evolving Staff Training Schedules using an Extensible Fitness Function and a Domain Specific Language -- On the Utility of Probing Trajectories for Algorithm-Selection -- Nature-inspired Portfolio Diversification using Ant Brood Clustering -- Cellular Genetic Algorithms for identifying variables in hybrid Gene Regulatory Networks.-Evolving Artificial Neural Networks for Simulating Fish Social Interactions -- Heuristics for Evolutionary Optimization for the Centered Bin Packing Problem -- A Hierarchical Approach to Evolving Behaviour-Trees for Swarm Control -- Evolutionary Algorithms for Optimizing Emergency Exit Placement in Indoor Environments -- Finding sets of solutions for temporal uncertain problems -- Interpretable Solutions for Breast Cancer Diagnosis with Grammatical Evolution and Data Augmentation -- Applying Graph Partitioning-Based Seeding Strategies to Software Modularisation -- A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks -- Iterated Beam Search for Wildland Fire Suppression -- A New Angle: On Evolving Rotation Symmetric Boolean Functions -- Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications: On the Potential of Multi-Objective Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimisation Problems -- A Simple Statistical Test Against Origin-Biased Metaheuristics -- Computational Intelligence for Sustainability: Optimizing Urban Infrastructure for E-Scooter Mobility -- Evolutionary Computation in Edge, Fog, and Cloud Computing: Simple Efficient Evolutionary Ensemble Learning on Network Intrusion Detection Benchmarks -- Evolutionary Computation meets Stream Processing -- Evolutionary Computation in Image Analysis, Signal Processing and Pattern Recognition: Integrating Data Augmentation in Evolutionary Algorithms for Feature Selection: A Preliminary Study -- Evolving Feature Extraction Models for Melanoma Detection: A Co-operative Co-evolution Approach -- 3D Motion Analysis in MRI using a Multi-objective Evolutionary k -means Clustering. |
| Record Nr. | UNINA-9910845482603321 |
|
Smith Stephen
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applications of Evolutionary Computation [[electronic resource] ] : 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings / / edited by João Correia, Stephen Smith, Raneem Qaddoura
| Applications of Evolutionary Computation [[electronic resource] ] : 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings / / edited by João Correia, Stephen Smith, Raneem Qaddoura |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XX, 817 p. 274 illus., 236 illus. in color.) |
| Disciplina | 004.0151 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computers Computer networks Computers, Special purpose Computer systems Computer science—Mathematics Theory of Computation Computing Milieux Computer Communication Networks Special Purpose and Application-Based Systems Computer System Implementation Mathematics of Computing |
| ISBN | 3-031-30229-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applications of Evolutionary Computation -- Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications -- Computational Intelligence for Sustainability -- Evolutionary Computation in Edge, Fog, and Cloud Computing -- Evolutionary Machine Learning -- Machine Learning and AI in Digital Healthcare and Personalized Medicine -- Resilient Bio-Inspired Algorithms -- Soft Computing applied to Games -- Surrogate-Assisted Evolutionary Optimisation. |
| Record Nr. | UNISA-996525668403316 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Applications of Evolutionary Computation [[electronic resource] ] : 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings / / edited by João Correia, Stephen Smith, Raneem Qaddoura
| Applications of Evolutionary Computation [[electronic resource] ] : 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings / / edited by João Correia, Stephen Smith, Raneem Qaddoura |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XX, 817 p. 274 illus., 236 illus. in color.) |
| Disciplina | 004.0151 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computers Computer networks Computers, Special purpose Computer systems Computer science—Mathematics Theory of Computation Computing Milieux Computer Communication Networks Special Purpose and Application-Based Systems Computer System Implementation Mathematics of Computing |
| ISBN | 3-031-30229-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applications of Evolutionary Computation -- Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications -- Computational Intelligence for Sustainability -- Evolutionary Computation in Edge, Fog, and Cloud Computing -- Evolutionary Machine Learning -- Machine Learning and AI in Digital Healthcare and Personalized Medicine -- Resilient Bio-Inspired Algorithms -- Soft Computing applied to Games -- Surrogate-Assisted Evolutionary Optimisation. |
| Record Nr. | UNINA-9910686478103321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applications of Evolutionary Computation [[electronic resource] ] : 24th International Conference, EvoApplications 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings / / edited by Pedro A. Castillo, Juan Luis Jiménez Laredo
| Applications of Evolutionary Computation [[electronic resource] ] : 24th International Conference, EvoApplications 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings / / edited by Pedro A. Castillo, Juan Luis Jiménez Laredo |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (836 pages) : illustrations |
| Disciplina | 005.1 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Computers Education—Data processing Computer networks Computers, Special purpose Computer systems Theory of Computation Computing Milieux Computers and Education Computer Communication Networks Special Purpose and Application-Based Systems Computer System Implementation |
| ISBN | 3-030-72699-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | On Restricting Real-Valued Genotypes in Evolutionary Algorithms -- Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions -- Co-Optimising Robot Morphology and Controller in a Simulated Open-ended Environment -- Multi-objective workforce allocation in construction projects -- Generating Duplex Routes for Robust Bus Transport Network by Improved Multi-objective Evolutionary Algorithm based on Decomposition -- Combining Multi-objective Evolutionary Algorithms with deep generative models towards focused molecular design -- A Multi-Objective Evolutionary Algorithm Approach for Optimizing Part Quality Aware Assembly Job Shop Scheduling Problems -- Evolutionary Grain-Mixing to Improve Profitability in Farming Winter Wheat -- Automatic Modular Design of Behavior Trees for Robot Swarms with Communication Capabilites -- Salp Swarm Optimization Search Based Feature Selection for Enhanced Phishing Websites Detection -- Real Time Optimisation of Traffic Signals to Prioritise Public Transport -- Adaptive Covariance Pattern Search -- Evaluating the Success-History based Adaptive Differential Evolution in the Protein Structure Prediction problem -- Beyond Body Shape and Brain: Evolving the Sensory Apparatus of Voxel-based Soft Robots -- Desirable Objective Ranges in Preference-based Evolutionary Multiobjective Optimization -- Improving Search Efficiency and Diversity of Solutions in Multiobjective Binary Optimization by Using Metaheuristics plus Integer Linear Programming -- Automated, Explainable Rule Extraction from MAP-Elites archives -- EDM-DRL: Toward Stable Reinforcement Learning through Ensembled Directed Mutation -- Continuous Ant-Based Neural Topology -- Playing with Dynamic Systems - Battling Swarms in Virtual Reality -- EvoCraft: A New Challenge for Open-Endedness -- A Profile-Based 'GrEvolutionary' Hearthstone Agent -- Modelling Asthma Patients' Responsiveness to Treatment Using Feature Selection and Evolutionary Computation -- Bayesian Networks for Mood Prediction Using Unobtrusive Ecological Momentary Assessments -- A Multi-Objective Multi-Type Facility Location Problem for the Delivery of Personalised Medicine -- RDE-OP: A Region-Based Differential Evolution Algorithm Incorporation Opposition-Based Learning for Optimising the Learning Process of Multi-Layer Neural Networks -- Estimation of Grain-level Residual Stresses in a Quenched Cylindrical Sample of Aluminum Alloy AA5083 using Genetic Programming -- EDA-based optimization of blow-off valve positions for centrifugal compressor systems -- 3D-2D Registration using X-ray Simulation and CMA-ES -- Lateralized Approach for Robustness AgainstAttacks in Emotion Categorization from Images -- Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification -- Deep Optimisation: Multi-Scale Evolution by Inducing and Searching in Deep Representations -- Evolutionary Planning in Latent Space -- Utilizing the Untapped Potential of Indirect Encoding for Neural Networks with Meta Learning -- Effective Universal Unrestricted Adversarial Attacks using a MOE Approach -- Improving Distributed Neuroevolution Using Island Extinction and Repopulation -- An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution -- Towards Feature-Based Performance Regression Using Trajectory Data -- Demonstrating the Evolution of GANs through t-SNE -- Optimising diversity in classifier ensembles of classification trees -- WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets -- Evolving Character-Level DenseNet Architectures using Genetic Programming -- Transfer Learning for Automated Test Case Prioritization using XCSF -- On the Effects of Absumption for XCS with Continuous-Valued Inputs -- A NEAT Visualisation of Neuroevolution Trajectories -- Evaluating Models with Dynamic Sampling Holdout -- Event-driven multi-algorithm optimization: mixing Swarm and Evolutionary strategies -- TensorGP – Genetic Programming Engine in TensorFlow -- A novel evolutionary approach for IoT-based water contaminant detection -- Evolutionary Algorithms for Roughness Coefficient Estimation in River Flow Analyses -- EA-based ASV Trajectory Planner for Pollution Detection in Lentic Waters. |
| Record Nr. | UNINA-9910483136203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applications of Evolutionary Computation [[electronic resource] ] : 24th International Conference, EvoApplications 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings / / edited by Pedro A. Castillo, Juan Luis Jiménez Laredo
| Applications of Evolutionary Computation [[electronic resource] ] : 24th International Conference, EvoApplications 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings / / edited by Pedro A. Castillo, Juan Luis Jiménez Laredo |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (836 pages) : illustrations |
| Disciplina | 005.1 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Computers Education—Data processing Computer networks Computers, Special purpose Computer systems Theory of Computation Computing Milieux Computers and Education Computer Communication Networks Special Purpose and Application-Based Systems Computer System Implementation |
| ISBN | 3-030-72699-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | On Restricting Real-Valued Genotypes in Evolutionary Algorithms -- Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions -- Co-Optimising Robot Morphology and Controller in a Simulated Open-ended Environment -- Multi-objective workforce allocation in construction projects -- Generating Duplex Routes for Robust Bus Transport Network by Improved Multi-objective Evolutionary Algorithm based on Decomposition -- Combining Multi-objective Evolutionary Algorithms with deep generative models towards focused molecular design -- A Multi-Objective Evolutionary Algorithm Approach for Optimizing Part Quality Aware Assembly Job Shop Scheduling Problems -- Evolutionary Grain-Mixing to Improve Profitability in Farming Winter Wheat -- Automatic Modular Design of Behavior Trees for Robot Swarms with Communication Capabilites -- Salp Swarm Optimization Search Based Feature Selection for Enhanced Phishing Websites Detection -- Real Time Optimisation of Traffic Signals to Prioritise Public Transport -- Adaptive Covariance Pattern Search -- Evaluating the Success-History based Adaptive Differential Evolution in the Protein Structure Prediction problem -- Beyond Body Shape and Brain: Evolving the Sensory Apparatus of Voxel-based Soft Robots -- Desirable Objective Ranges in Preference-based Evolutionary Multiobjective Optimization -- Improving Search Efficiency and Diversity of Solutions in Multiobjective Binary Optimization by Using Metaheuristics plus Integer Linear Programming -- Automated, Explainable Rule Extraction from MAP-Elites archives -- EDM-DRL: Toward Stable Reinforcement Learning through Ensembled Directed Mutation -- Continuous Ant-Based Neural Topology -- Playing with Dynamic Systems - Battling Swarms in Virtual Reality -- EvoCraft: A New Challenge for Open-Endedness -- A Profile-Based 'GrEvolutionary' Hearthstone Agent -- Modelling Asthma Patients' Responsiveness to Treatment Using Feature Selection and Evolutionary Computation -- Bayesian Networks for Mood Prediction Using Unobtrusive Ecological Momentary Assessments -- A Multi-Objective Multi-Type Facility Location Problem for the Delivery of Personalised Medicine -- RDE-OP: A Region-Based Differential Evolution Algorithm Incorporation Opposition-Based Learning for Optimising the Learning Process of Multi-Layer Neural Networks -- Estimation of Grain-level Residual Stresses in a Quenched Cylindrical Sample of Aluminum Alloy AA5083 using Genetic Programming -- EDA-based optimization of blow-off valve positions for centrifugal compressor systems -- 3D-2D Registration using X-ray Simulation and CMA-ES -- Lateralized Approach for Robustness AgainstAttacks in Emotion Categorization from Images -- Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification -- Deep Optimisation: Multi-Scale Evolution by Inducing and Searching in Deep Representations -- Evolutionary Planning in Latent Space -- Utilizing the Untapped Potential of Indirect Encoding for Neural Networks with Meta Learning -- Effective Universal Unrestricted Adversarial Attacks using a MOE Approach -- Improving Distributed Neuroevolution Using Island Extinction and Repopulation -- An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution -- Towards Feature-Based Performance Regression Using Trajectory Data -- Demonstrating the Evolution of GANs through t-SNE -- Optimising diversity in classifier ensembles of classification trees -- WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets -- Evolving Character-Level DenseNet Architectures using Genetic Programming -- Transfer Learning for Automated Test Case Prioritization using XCSF -- On the Effects of Absumption for XCS with Continuous-Valued Inputs -- A NEAT Visualisation of Neuroevolution Trajectories -- Evaluating Models with Dynamic Sampling Holdout -- Event-driven multi-algorithm optimization: mixing Swarm and Evolutionary strategies -- TensorGP – Genetic Programming Engine in TensorFlow -- A novel evolutionary approach for IoT-based water contaminant detection -- Evolutionary Algorithms for Roughness Coefficient Estimation in River Flow Analyses -- EA-based ASV Trajectory Planner for Pollution Detection in Lentic Waters. |
| Record Nr. | UNISA-996464416303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
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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Soggetto topico
-
Computing Milieux
(551)
- Computers (539)
- Artificial intelligence (306)
- Artificial Intelligence (300)
- Application software (267)