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Applications of Computational Intelligence [[electronic resource] ] : 6th IEEE Colombian Conference, ColCACI 2023, Bogota, Colombia, July 26-28, 2023, Revised Selected Papers / / edited by Alvaro David Orjuela-Cañón, Jesus A Lopez, Julián David Arias-Londoño
| Applications of Computational Intelligence [[electronic resource] ] : 6th IEEE Colombian Conference, ColCACI 2023, Bogota, Colombia, July 26-28, 2023, Revised Selected Papers / / edited by Alvaro David Orjuela-Cañón, Jesus A Lopez, Julián David Arias-Londoño |
| Autore | Orjuela-Cañón Alvaro David |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (176 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
LopezJesus A
Arias-LondoñoJulián David |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer science - Mathematics Computers, Special purpose Algorithms Education - Data processing Artificial Intelligence Mathematics of Computing Special Purpose and Application-Based Systems Design and Analysis of Algorithms Computers and Education |
| ISBN | 3-031-48415-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Biomedical Applications -- A Transfer Learning Scheme for COVID-19 Diagnosis from Chest X-Ray Images using Gradient-weighted Class Activation Mapping -- On the Comparison of Multilayer Perceptron and Extreme Learning Machine for Pedaling Recognition using EEG -- Self-supervised deep-learning segmentation of corneal endothelium specular microscopy images -- Tuberculosis Drug Discovery Estimation Process by Using Machine and Deep Learning Models -- Biological Applications -- A Robust Hybrid Control Approach tuned by PSO for Long-Time Delay Nonlinear Chemical Processes -- Feature selection of the spectral signature of cocoa bean based on visible and near-infrared spectroscopy for cadmium estimation -- On the use of Deep Learning Models for Automatic Animal Classification of Native Species in the Amazon -- Engineering Applications -- Intra-day Electricity Price Forecasting Based on a Time2Vec-LSTM Model -- Radio Frequency Pattern Matching – Subscriber Location in 5G Networks -- Robotic Arm based on Artificial Intelligence for Learning Braille as an Inclusive Tool in Educational Environments -- Spatial shrinkage prior: A probabilistic approach to model for categorical variables with many levels. . |
| Record Nr. | UNINA-9910765485803321 |
Orjuela-Cañón Alvaro David
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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
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| 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 |
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Smith Stephen
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| 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. | UNISA-996464416303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Applications of Evolutionary Computation : 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 : 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 Computació evolutiva |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| 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] ] : 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
| 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
| 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 | ||
| ||
Applications of Evolutionary Computation [[electronic resource] ] : 21st International Conference, EvoApplications 2018, Parma, Italy, April 4-6, 2018, Proceedings / / edited by Kevin Sim, Paul Kaufmann
| Applications of Evolutionary Computation [[electronic resource] ] : 21st International Conference, EvoApplications 2018, Parma, Italy, April 4-6, 2018, Proceedings / / edited by Kevin Sim, Paul Kaufmann |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXII, 917 p. 305 illus.) |
| Disciplina | 005.432 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Artificial intelligence Computer vision Pattern recognition systems Computer networks Computers, Special purpose Artificial Intelligence Computer Vision Automated Pattern Recognition Computer Communication Networks Special Purpose and Application-Based Systems |
| ISBN | 3-319-77538-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Volume Editors -- Preface -- Organization -- Contents -- EvoBAFIN -- Multi-objective Cooperative Coevolutionary Algorithm with Dynamic Species-Size Strategy -- Abstract -- 1 Introduction -- 2 Multi-objective CCA with Dynamic Problem Decomposition -- 2.1 Dynamic Species-Size -- 2.2 Dynamic Process -- 2.3 Collaborator Selection Method -- 2.4 DMOCCA Main Algorithm -- 3 Formulation of CCMVPOP -- 4 Computational Experiments -- 4.1 Data -- 4.2 Parameter Setting -- 4.3 Computational Results -- 4.4 Effects of Implementing the Dynamic Species-Size Strategy -- 5 Conclusions -- References -- EvoBIO -- Task Classification Using Topological Graph Features for Functional M/EEG Brain Connectomics -- 1 Introduction -- 2 Model Selection as an Optimization Problem -- 3 Models and Methods -- 4 Experiments and Results -- 5 Conclusions and Future Research Lines -- References -- Feature Selection for Detecting Gene-Gene Interactions in Genome-Wide Association Studies -- 1 Introduction -- 2 Methods -- 2.1 Datasets -- 2.2 Quantification of Pairwise Interactions Using Information Gain -- 2.3 Feature Selection Algorithms -- 3 Results -- 3.1 Feature Selection Algorithms on the Simulated Data -- 3.2 Feature Selection Algorithms on the CRC Data -- 4 Discussion -- References -- Fitness Functions Evaluation for Segmentation of Lymphoma Histological Images Using Genetic Algorithm -- 1 Introduction -- 2 Materials and Methods -- 2.1 Images Dataset -- 2.2 Proposed Algorithm -- 2.3 Evaluation Metrics -- 3 Results and Discussion -- 4 Conclusion -- References -- Mutual Information Iterated Local Search: A Wrapper-Filter Hybrid for Feature Selection in Brain Computer Interfaces -- 1 Introduction -- 2 Background -- 2.1 Filters -- 2.2 Wrappers -- 2.3 Hybrid Approaches -- 3 Proposed Method -- 3.1 Iterated Local Search.
3.2 Minimal Redundancy Maximal Relevance-Iterated Local Search -- 4 Methodology -- 4.1 Datasets -- 4.2 Features -- 4.3 Solution Size -- 4.4 Classifiers -- 5 Results and Discussion -- 6 Conclusion -- References -- Automatic Segmentation of Neurons in 3D Samples of Human Brain Cortex -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Sample Collection and Preparation -- 2.2 Imaging: Two-Photon Fluorescence Microscopy -- 2.3 Image Stitching -- 2.4 Pattern-Level Segmentation by CNN -- 3 Results -- 4 Discussion and Conclusion -- Acknowledgements -- References -- Analysis of Relevance and Redundance on Topoisomerase 2b (TOP2B) Binding Sites: A Feature Selection Approach -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data -- 2.2 Classification -- 2.3 Feature Selection -- 3 Experimental Results -- 3.1 Baseline Classification Results -- 3.2 Feature Selection -- 4 Feature Analysis -- 4.1 Baseline Classification -- 4.2 Feature Selection -- 5 Conclusions and Future Works -- References -- EvoCOMNET -- Multimodal Transportation Network Design Using Physarum Polycephalum-Inspired Multi-agent Computation Methods -- 1 Introduction -- 2 Previous Work -- 3 Research Methodology -- 3.1 Model Background -- 3.2 The Multimodal Physarum Model -- 4 Model Evaluation -- 4.1 Basic Network Performance Analysis -- 4.2 Implementation in Real-World Context -- 5 Conclusions and Future Research -- References -- Improving Multi-objective Evolutionary Influence Maximization in Social Networks -- 1 Introduction -- 2 Background and Related Work -- 2.1 Models for Influence Propagation and Problem Formulation -- 2.2 Existing Solutions for Influence Maximization -- 3 Proposed Approach -- 4 Experimental Evaluation -- 4.1 Benchmarks -- 4.2 Experimental Results -- 5 Conclusions -- References -- Social Relevance Index for Studying Communities in a Facebook Group of Patients. 1 Introduction -- 2 Related Works -- 3 The Relevance Index Approach -- 4 HyReSS: Hybrid Relevant Set Search -- 4.1 Genetic Algorithm -- 4.2 Variable Relevance-Based Local Search -- 4.3 Variable Frequency-Based Search -- 4.4 CRS Cardinality-Based Search -- 4.5 Merging -- 5 Experimental Results -- 5.1 Dataset Description -- 5.2 HyReSS Performances -- 5.3 Social Network Results -- 6 Conclusion -- References -- A Fast Metaheuristic for the Design of DVB-T2 Networks -- 1 Introduction -- 2 An Optimization Model for DVB-T2 Network Design -- 2.1 Strengthening the Formulation DVB-MILP -- 3 A Metaheuristic for DVB-T2 Network Design -- 3.1 Feasible Solution Construction -- 3.2 MILP Improvement Heuristic -- 3.3 The Complete Algorithm -- 4 Computational Tests -- 5 Conclusion and Future Work -- References -- EvoCOMPLEX -- A Genetic Algorithm for Community Detection in Attributed Graphs -- 1 Introduction -- 2 Problem Definition -- 3 @NetGA Description -- 4 Experimental Evaluation -- 4.1 Datasets -- 4.2 Algorithms in Comparison -- 4.3 Evaluation Measures -- 4.4 Results -- 5 Conclusion -- References -- Maximizing the Effect of Local Disturbance in the Dynamics of Opinion Formation -- Abstract -- 1 Introduction -- 2 Model -- 3 Genetic Algorithm -- 4 Result -- 5 Conclusion -- Acknowledgement -- References -- Accelerating the Computation of Solutions in Resource Allocation Problems Using an Evolutionary Approach and Multiagent Reinforcement Learning -- 1 Introduction -- 2 Multiagent Reinforcement Learning -- 3 Related Work -- 4 Methods: General Scheme -- 5 Methods: Specific Problem -- 5.1 Instantiation to a Congestion Game -- 5.2 Traffic Networks -- 6 Results -- 6.1 Network: OW -- 6.2 Network: SF -- 6.3 Network: Braess Paradox -- 6.4 Discussion -- 7 Conclusions and Future Work -- References -- EvoENERGY. Achieving Optimized Decisions on Battery Operating Strategies in Smart Buildings -- 1 Introduction -- 2 Related Work -- 3 Scenario and Setup: Smart Residential Building -- 3.1 Building Model and Battery Energy Storage System Model -- 3.2 Building Energy Management System -- 4 Battery System Controller: Approach and Optimization -- 4.1 Non-optimized and Optimized Operating Strategies -- 4.2 Integration into the Optimization -- 4.3 Handling of Uncertainty in Predictions -- 5 Results and Discussion -- 5.1 Exemplary Optimized Day -- 5.2 Discussion of the Results -- 6 Conclusion and Outlook -- References -- Phase-Space Sampling of Energy Ensembles with CMA-ES -- 1 Introduction -- 2 Scheduling and Flexibility Modeling -- 3 Phase Space Sampling -- 4 CMA-ES for Optimized Sampling -- 5 Results -- 6 Conclusion -- References -- Many-Objective Optimization of Mission and Hybrid Electric Power System of an Unmanned Aircraft -- Abstract -- 1 Introduction -- 1.1 Evolutionary Methods -- 2 The Optimization Problem -- 2.1 Inputs of the Optimization -- 2.2 Optimization Methods and Goals -- 3 Performance Analysis -- 3.1 Results of the Simplified Problem -- 3.2 Results of the Complete Problem (Many-Objective Optimization) -- 4 Discussion of the Results -- 5 Conclusions -- References -- Evolving Controllers for Electric Vehicle Charging -- 1 Introduction -- 2 Evolution of Controllers -- 3 Experiments -- 4 Conclusions and Future Work -- References -- Network Coordinated Evolution: Modeling and Control of Distributed Systems Through On-line Genetic PID-Control Optimization Search -- 1 Introduction -- 2 Problem Description -- 3 Network Coordinated Evolution -- 3.1 On-line Genetic Search Algorithm -- 3.2 Graph Database -- 4 Implementation -- 4.1 Genetic Search Implementation -- 4.2 Testbed Realization -- 5 Results -- 6 Conclusion -- References -- EvoGAMES. Piecemeal Evolution of a First Person Shooter Level -- 1 Introduction -- 2 Background Work on Map Sketches -- 3 Methodology -- 3.1 Evolving the Ground Floor -- 3.2 Creating the Top Floor from the Ground Floor -- 3.3 Evolving both Floors -- 3.4 Post-processing to Create the Final Room -- 4 Experiments -- 4.1 Comparing Level Structures -- 4.2 Comparing Level Patterns -- 5 Discussion -- 6 Conclusion -- References -- Online-Trained Fitness Approximators for Real-World Game Balancing -- 1 Introduction -- 1.1 Motivation -- 1.2 Previous Work -- 1.3 Structure -- 2 Methodology -- 2.1 Ms Pacman -- 2.2 TORCS -- 2.3 Genetic Algorithm -- 2.4 Approximator Integration -- 2.5 Neural Network -- 2.6 C4.5 Decision Trees -- 2.7 K-Nearest Neighbours -- 2.8 Experiments -- 3 Results -- 3.1 PacMan -- 3.2 TORCS -- 4 Discussion and Conclusion -- References -- Recomposing the Pokémon Color Palette -- 1 Introduction -- 2 Related Work -- 3 Processing the Pokémon Dataset -- 3.1 The Dataset -- 3.2 Decomposing Pokémon Sprites -- 3.3 Analysis of Pokémon Sprite Metrics -- 4 Building a Classifier for Pokémon Types -- 5 Evolving the Pokémon Pallette -- 5.1 Customizing a Single Pokémon -- 5.2 Removing a Pokémon Type -- 5.3 Balancing the Number of Pokémon Per Type -- 6 Discussion -- 7 Conclusion -- References -- Mapping Chess Aesthetics onto Procedurally Generated Chess-Like Games -- 1 Introduction -- 2 Background Work -- 2.1 Procedural Content Generation -- 2.2 Simplified Boardgames -- 3 Methodology -- 3.1 Strategic Metrics -- 3.2 Visual Metrics -- 3.3 Mapping from General Games to Chess -- 3.4 Representation -- 3.5 Evolution and Its Variants -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- Evolving a TORCS Modular Fuzzy Driver Using Genetic Algorithms -- 1 Introduction -- 2 State of the Art -- 3 Experimental Setup -- 3.1 The TORCS Simulator -- 3.2 Fuzzy Controller. 4 Optimizing the Fuzzy Controllers with GA. |
| Record Nr. | UNISA-996465744903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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