Información del autor
Autor Tang, Ke |
Documentos disponibles escritos por este autor (2)
Crear una solicitud de compra Refinar búsquedaIntelligent Data Engineering and Automated Learning – IDEAL 2021 / Yin, Hujun ; Camacho, David ; Tino, Peter ; Allmendinger, Richard ; Tallón-Ballesteros, Antonio J. ; Tang, Ke ; Cho, Sung-Bae ; Novais, Paulo ; Nascimento, Susana
TÃtulo : Intelligent Data Engineering and Automated Learning – IDEAL 2021 : 22nd International Conference, IDEAL 2021, Manchester, UK, November 25–27, 2021, Proceedings / Tipo de documento: documento electrónico Autores: Yin, Hujun, ; Camacho, David, ; Tino, Peter, ; Allmendinger, Richard, ; Tallón-Ballesteros, Antonio J., ; Tang, Ke, ; Cho, Sung-Bae, ; Novais, Paulo, ; Nascimento, Susana, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XVIII, 649 p. 224 ilustraciones, 173 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-91608-4 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Educación Visión por computador Computadoras y Educación IngenierÃa de software Aprendizaje automático MinerÃa de datos y descubrimiento de conocimientos Procesamiento de datos Clasificación: 6.312 Resumen: Este libro constituye las actas arbitradas de la 22.ª Conferencia Internacional sobre IngenierÃa de Datos Inteligentes y Aprendizaje Automatizado, IDEAL 2021, que tuvo lugar del 25 al 27 de noviembre de 2021. La conferencia estaba originalmente prevista para realizarse en Manchester, Reino Unido, pero se llevó a cabo virtualmente. debido a la pandemia de COVID-19. Los 61 artÃculos completos incluidos en este libro fueron cuidadosamente revisados ​​y seleccionados entre 85 envÃos. Se ocupan de temas emergentes y desafiantes en el análisis de datos inteligentes y los paradigmas y sistemas de aprendizaje automático asociados. Se celebraron sesiones especiales sobre agrupación para el aprendizaje automático interpretable; aprendizaje automático hacia sistemas multimodales más inteligentes; e inteligencia computacional para visión por computadora y procesamiento de imágenes. Nota de contenido: Main Track -- A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality -- A Parallel Variable Neighborhood Search for Solving Real-World Production-Scheduling Problems -- Inheritances of Orthogonality in the Bio-inspired Layered Networks -- A Neural Architecture for Detecting Identifier Renaming from Diff -- Spell Checker Application Based on Levenshtein Automaton -- Ensemble Synthetic Oversampling with Manhattan Distance for Unbalanced Hyperspectral Data -- AutoML technologies for the identification of sparse models -- A Hierarchical Multi-Label Classification of Multi-Resident Activities -- Fast and Optimal Planner for the Discrete Grid-Based Coverage Path-Planning Problem -- Plagiarism Detection by Usage of Encoplot and Transformers -- Drift Detection in Text Data with Document Embeddings -- Validation of Video Retrieval by Kappa Measure for Inter-Judge Agreement -- Multi Language Application of Previously Developed Transcripts Classifier -- A complexity measure for binary classification problems based on lost points -- Linear Concept Approximation for Multilingual Document Recommendation -- Unsupervised Detection of Solving Strategies for Competitive Programming -- Application of long short-term memory neural networks for electric arc furnace modelling -- An Empirical Study of the Impact of Field Features in Learning-to-rank Method -- An Optimized Evidential Artificial Immune Recognition System based on Genetic Algorithm -- New Arabic Medical Dataset for Diseases Classification -- Improving Maximum Likelihood Estimation using Marginalization and Black-Box Variational Inference -- A Deep Learning-Based Approach for Train Arrival Time Prediction -- A Hybrid Approach for Predicting Bitcoin Price using Bi-LSTM and Bi-RNN Based Neural Network -- DC-Deblur: A Dilated Convolutional Network for Single Image Deblurring -- Time-series in Hyper-parameter Initialization of Machine Learning Techniques -- Prediction of Maintenance Equipment Failures Using AutomatedMachine Learning -- Learning Inter-Lingual Document Representations via Concept Compression -- Mixture-based probabilistic graphical models for the partial label ranking problem -- From classification to visualization: a two way trip -- Neural Complexity Assessment: A Deep Learning Approach to Readability Classification for European Portuguese Corpora -- Countering misinformation through semantic-aware multilingual models -- Genetic and Ant Colony algorithms to solve the multi-TSP -- Explainable AI (XAI) in Healthcare – Opportunities, Gaps and Challenges and a New Way to Look the Problem Space -- End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images -- SFU-CE: Skyline Frequent-Utility Itemset Discovery Using the Cross-Entropy Method -- Evaluating Football Player Actions during Counterattacks -- An Intelligent Decision Support System for Production Planning in Garments Industry -- Learning Dynamic Connectivity with Residual-Attention Network for Autism Classification in 4D fMRI Brain Images -- "A Profile on Twitter Shadowban: an AI Ethics -- position paper on Free-Speech" -- Meta-Feature Extraction Strategies for Active Anomaly Detection -- An implementation of the "Guess who?" game using CLIP -- Directional Graph Transformer-based Control Flow Embedding for Malware Classification -- Violence Detection with Audio inside the Car -- Evaluating Uni-dimensional Convolutional Neural Networks to Forecast the Influent pH of Wastewater Treatment Plants -- LSTM neural network modeling of wind speed and correlation analysis of wind and waves -- Finding Local Explanations through Masking Models -- Wind Turbine Modelling based on Neural Networks: a First Approach -- Multi-Attribute Forecast of the Price in the Iberian Electricity Market -- Tracking the temporal-evolution of supernova bubbles in numerical simulations -- SOMiMS - Topographic Mapping in the Model Space -- Fair Regret Minimization Queries -- Chimera: A Hybrid Machine Learning-Driven Multi-Objective Design Space Exploration Tool for FPGA High-Level Synthesis -- Special Session on Clustering for Interpretable Machine Learning -- Detecting Communities in Feature-Rich Networks with a K-Means Method -- Meta-learning based feature selection for clustering -- ACHC: Associative Classifier based on Hierarchical Clustering -- Special Session on Machine Learning towards Smarter Multimodal Systems -- Multimodal Semi-supervised Bipolar Disorder Classification -- Developments on support vector machines for multiple-expert learning -- WalkingStreet: understanding human mobility phenomena through a mobile application -- Indoor Positioning System for Ubiquitous Computing Environments -- Special Session on Computational Intelligence for Computer Vision and Image Processing -- T Line and C Line Detection and Ratio Reading of the Ovulation Test Strip Based on Deep Learning -- Radar echo image prediction algorithm based on multi-scale encoding-decoding network. . Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 22nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2021, which took place during November 25-27, 2021. The conference was originally planned to take place in Manchester, UK, but was held virtually due to the COVID-19 pandemic. The 61 full papers included in this book were carefully reviewed and selected from 85 submissions. They deal with emerging and challenging topics in intelligent data analytics and associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Intelligent Data Engineering and Automated Learning – IDEAL 2021 : 22nd International Conference, IDEAL 2021, Manchester, UK, November 25–27, 2021, Proceedings / [documento electrónico] / Yin, Hujun, ; Camacho, David, ; Tino, Peter, ; Allmendinger, Richard, ; Tallón-Ballesteros, Antonio J., ; Tang, Ke, ; Cho, Sung-Bae, ; Novais, Paulo, ; Nascimento, Susana, . - 1 ed. . - [s.l.] : Springer, 2021 . - XVIII, 649 p. 224 ilustraciones, 173 ilustraciones en color.
ISBN : 978-3-030-91608-4
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Educación Visión por computador Computadoras y Educación IngenierÃa de software Aprendizaje automático MinerÃa de datos y descubrimiento de conocimientos Procesamiento de datos Clasificación: 6.312 Resumen: Este libro constituye las actas arbitradas de la 22.ª Conferencia Internacional sobre IngenierÃa de Datos Inteligentes y Aprendizaje Automatizado, IDEAL 2021, que tuvo lugar del 25 al 27 de noviembre de 2021. La conferencia estaba originalmente prevista para realizarse en Manchester, Reino Unido, pero se llevó a cabo virtualmente. debido a la pandemia de COVID-19. Los 61 artÃculos completos incluidos en este libro fueron cuidadosamente revisados ​​y seleccionados entre 85 envÃos. Se ocupan de temas emergentes y desafiantes en el análisis de datos inteligentes y los paradigmas y sistemas de aprendizaje automático asociados. Se celebraron sesiones especiales sobre agrupación para el aprendizaje automático interpretable; aprendizaje automático hacia sistemas multimodales más inteligentes; e inteligencia computacional para visión por computadora y procesamiento de imágenes. Nota de contenido: Main Track -- A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality -- A Parallel Variable Neighborhood Search for Solving Real-World Production-Scheduling Problems -- Inheritances of Orthogonality in the Bio-inspired Layered Networks -- A Neural Architecture for Detecting Identifier Renaming from Diff -- Spell Checker Application Based on Levenshtein Automaton -- Ensemble Synthetic Oversampling with Manhattan Distance for Unbalanced Hyperspectral Data -- AutoML technologies for the identification of sparse models -- A Hierarchical Multi-Label Classification of Multi-Resident Activities -- Fast and Optimal Planner for the Discrete Grid-Based Coverage Path-Planning Problem -- Plagiarism Detection by Usage of Encoplot and Transformers -- Drift Detection in Text Data with Document Embeddings -- Validation of Video Retrieval by Kappa Measure for Inter-Judge Agreement -- Multi Language Application of Previously Developed Transcripts Classifier -- A complexity measure for binary classification problems based on lost points -- Linear Concept Approximation for Multilingual Document Recommendation -- Unsupervised Detection of Solving Strategies for Competitive Programming -- Application of long short-term memory neural networks for electric arc furnace modelling -- An Empirical Study of the Impact of Field Features in Learning-to-rank Method -- An Optimized Evidential Artificial Immune Recognition System based on Genetic Algorithm -- New Arabic Medical Dataset for Diseases Classification -- Improving Maximum Likelihood Estimation using Marginalization and Black-Box Variational Inference -- A Deep Learning-Based Approach for Train Arrival Time Prediction -- A Hybrid Approach for Predicting Bitcoin Price using Bi-LSTM and Bi-RNN Based Neural Network -- DC-Deblur: A Dilated Convolutional Network for Single Image Deblurring -- Time-series in Hyper-parameter Initialization of Machine Learning Techniques -- Prediction of Maintenance Equipment Failures Using AutomatedMachine Learning -- Learning Inter-Lingual Document Representations via Concept Compression -- Mixture-based probabilistic graphical models for the partial label ranking problem -- From classification to visualization: a two way trip -- Neural Complexity Assessment: A Deep Learning Approach to Readability Classification for European Portuguese Corpora -- Countering misinformation through semantic-aware multilingual models -- Genetic and Ant Colony algorithms to solve the multi-TSP -- Explainable AI (XAI) in Healthcare – Opportunities, Gaps and Challenges and a New Way to Look the Problem Space -- End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images -- SFU-CE: Skyline Frequent-Utility Itemset Discovery Using the Cross-Entropy Method -- Evaluating Football Player Actions during Counterattacks -- An Intelligent Decision Support System for Production Planning in Garments Industry -- Learning Dynamic Connectivity with Residual-Attention Network for Autism Classification in 4D fMRI Brain Images -- "A Profile on Twitter Shadowban: an AI Ethics -- position paper on Free-Speech" -- Meta-Feature Extraction Strategies for Active Anomaly Detection -- An implementation of the "Guess who?" game using CLIP -- Directional Graph Transformer-based Control Flow Embedding for Malware Classification -- Violence Detection with Audio inside the Car -- Evaluating Uni-dimensional Convolutional Neural Networks to Forecast the Influent pH of Wastewater Treatment Plants -- LSTM neural network modeling of wind speed and correlation analysis of wind and waves -- Finding Local Explanations through Masking Models -- Wind Turbine Modelling based on Neural Networks: a First Approach -- Multi-Attribute Forecast of the Price in the Iberian Electricity Market -- Tracking the temporal-evolution of supernova bubbles in numerical simulations -- SOMiMS - Topographic Mapping in the Model Space -- Fair Regret Minimization Queries -- Chimera: A Hybrid Machine Learning-Driven Multi-Objective Design Space Exploration Tool for FPGA High-Level Synthesis -- Special Session on Clustering for Interpretable Machine Learning -- Detecting Communities in Feature-Rich Networks with a K-Means Method -- Meta-learning based feature selection for clustering -- ACHC: Associative Classifier based on Hierarchical Clustering -- Special Session on Machine Learning towards Smarter Multimodal Systems -- Multimodal Semi-supervised Bipolar Disorder Classification -- Developments on support vector machines for multiple-expert learning -- WalkingStreet: understanding human mobility phenomena through a mobile application -- Indoor Positioning System for Ubiquitous Computing Environments -- Special Session on Computational Intelligence for Computer Vision and Image Processing -- T Line and C Line Detection and Ratio Reading of the Ovulation Test Strip Based on Deep Learning -- Radar echo image prediction algorithm based on multi-scale encoding-decoding network. . Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 22nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2021, which took place during November 25-27, 2021. The conference was originally planned to take place in Manchester, UK, but was held virtually due to the COVID-19 pandemic. The 61 full papers included in this book were carefully reviewed and selected from 85 submissions. They deal with emerging and challenging topics in intelligent data analytics and associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Simulated Evolution and Learning : 11th International Conference, SEAL 2017, Shenzhen, China, November 10–13, 2017, Proceedings / Tipo de documento: documento electrónico Autores: Shi, Yuhui, ; Tan, Kay Chen, ; Zhang, Mengjie, ; Tang, Ke, ; Li, Xiaodong, ; Zhang, Qingfu, ; Tan, Ying, ; Middendorf, Martin, ; Jin, Yaochu, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: XXII, 1041 p. 317 ilustraciones ISBN/ISSN/DL: 978-3-319-68759-9 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Ciencias de la Computación Inteligencia artificial Algoritmos Red de computadoras Simulación por ordenador TeorÃa de la Computación Modelos de Computación Redes de comunicación informática Modelado por computadora Clasificación: 40.151 Resumen: Este libro constituye las actas arbitradas de la 11.ª Conferencia Internacional sobre Evolución y Aprendizaje Simulado, SEAL 2017, celebrada en Shenzhen, China, en noviembre de 2017. Los 85 artÃculos presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 145 presentaciones. Estaban organizados en secciones temáticas denominadas: optimización evolutiva; optimización evolutiva multiobjetivo; aprendizaje automático evolutivo; desarrollos teóricos; selección de caracterÃsticas y reducción de dimensionalidad; entornos dinámicos e inciertos; aplicaciones del mundo real; sistemas adaptativos; e inteligencia de enjambre. Nota de contenido: Evolutionary Optimisation -- Maximum Likelihood Estimation based on Random Subspace EDA: Application to Extrasolar Planet Detection -- Evolutionary Games Network Reconstruction by Memetic Algorithm with l1/2 Regularization -- A Simple Brain Storm Optimization Algorithm via Visualizing Confidence Intervals -- Simulated Annealing with a Time-slot Heuristic for Ready-mix Concrete Delivery -- A Sequential Learnable Evolutionary Algorithm with a Novel Knowledge Base Generation Method -- Using Parallel Strategies to Speed Up Pareto Local Search -- Differential evolution based hyper-heuristic for the flexible job-shop scheduling problem with fuzzy processing time -- ACO-iRBA: A Hybrid Approach to TSPN with Overlapping Neighborhoods -- An Evolutionary Algorithm with A New Coding Scheme for Multi-objective Portfolio Optimization -- Exact Approaches for the Travelling Thief Problem -- On the Use of Dynamic Reference Points in HypE -- Multi-Factorial Evolutionary Algorithm Based on M2M Decomposition -- An Efficient Local Search Algorithm for Minimum Weighted Vertex Cover on Massive Graphs -- Interactive Genetic Algorithm with Group Intelligence Articulated Possibilistic Condition Preference Model -- GP-Based Approach to Comprehensive Quality-Aware Automated Semantic Web Service Composition -- Matrix Factorization based Benchmark Set Analysis: A Case Study on HyFlex.-Learning to Describe Collective Search Behavior of Evolutionary Algorithms in Solution Space -- Evolutionary Multiobjective Optimisation -- A Hierarchical Decomposition-based Evolutionary Many-objective Algorithm -- Adjusting Parallel Coordinates for Investigating Multi-Objective Search -- An Elite Archive-based MOEA/D Algorithm -- A constraint partitioning method based on minimax strategy for constrained multiobjective optimization problems -- A Fast Objective Reduction Algorithm based on Dominance Structure for Many Objective Optimization -- A memetic algorithm based on decomposition and extended search for Multi-Objective CapacitatedArc Routing Problem -- Improvement of reference points for decomposition based multi-objective evolutionary algorithms -- Multi-Objective Evolutionary Optimization for Autonomous Intersection Management -- Study of an adaptive control of aggregate functions in MOEA/D -- Use of Inverted Triangular Weight Vectors in Decomposition-Based Many-Objective Algorithms -- Surrogate Model Assisted Multi-Objective Differential Evolution Algorithm for Performance Optimization at Software Architecture Level -- Normalized Ranking Based Particle Swarm Optimizer for Many Objective Optimization -- Evolutionary Machine Learning -- A Study on Pre-Training Deep Neural Networks Using Particle Swarm Optimisation -- Simple Linkage Identification Using Genetic Clustering -- Learning of Sparse Fuzzy Cognitive Maps Using Evolutionary Algorithm with Lasso Initialization -- A Bayesian Restarting Approach to Algorithm Selection -- Evolutionary Learning based Iterated Local Search for Google Machine Reassignment Problems -- Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression -- Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling -- Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning -- Adaptive Memetic Algorithm Based Evolutionary Multi-tasking Single-objective Optimization -- Effective Policy Gradient Search for Reinforcement Learning through NEAT based Feature Extraction -- Generalized Hybrid Evolutionary Algorithm Framework with a Mutation Operator Requiring no Adaptation -- A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors -- Theoretical Developments -- Running-time Analysis of Particle Swarm Optimization with a Single Particle Based on Average Gain -- Evolutionary Computation Theory for Remote Sensing Image Clustering: A Survey -- Feature Selection and Dimensionality Reduction -- New Representations in Genetic Programming for Feature Construction in k-means Clustering -- Transductive Transfer Learning in Genetic Programming for Document Classification -- Automatic Feature Construction for Network Intrusion Detection -- A Feature Subset Evaluation Method based on Multi-objective Optimization -- A Hybrid GA-GP Method for Feature Reduction in Classification -- Kernel Construction and Feature Subset Selection in Support Vector Machines -- KW-Race and Fast KW-Race: Racing-based Frameworks for Tuning Parameters of Evolutionary Algorithms on Black-box Optimization Problems -- Dynamic and Uncertain Environments -- A Probabilistic Learning Algorithm for the Shortest Path Problem -- A first-order difference model-based evolutionary dynamic multiobjective optimization -- A Construction Graph-based Evolutionary Algorithm For Traveling Salesman Problem -- Real-world Applications -- Bi-objective water cycle algorithm for solving remanufacturing rescheduling problem -- A New Method for Constructing Ensemble Classifier in Privacy-Preserving Distributed Environment -- Greedy based Pareto Local Search for Bi-objective Robust Airport Gate Assignment Problem -- Multi-neighbourhood Great Deluge for Google Machine Reassignment Problem -- Evolutionary Optimization of Airport Security Inspection Allocation -- Evolving Directional Changes Trading Strategies with a New Event-based Indicator -- Constrained Differential Evolution for Cost and Energy Efficiency Optimization in 5G Wireless Networks -- Evolutionary Computation to Determine Product Builds in Open Pit Mining -- An Evolutionary Vulnerability Detection Method for HFSWR Ship Tracking Algorithm -- Genetic Programming for Lifetime Maximization in Wireless Sensor Networks with Mobile Sink -- Unsupervised Change Detection for Remote Sensing Images Based on Principal Component Analysis and Differential Evolution -- Parallel particle swarm optimization for community detection in large-scale networks -- Multi-objective memetic algorithm based onthree-dimentional request prediction for dynamic pickup-and-delivery problem with time windows -- Optimization of Spectrum-Energy Efficiency in Heterogeneous Communication Network -- Large scale WSN deployment based on an improved cooperative coevolutionary PSO with global differential grouping -- Adaptive Systems -- Learning Fuzzy Cognitive Maps Using a Genetic Algorithm with Decision-making Trial and Evaluation -- Dynamic and Adaptive Threshold for DNN Compression from Scratch -- Cooperative Design of Two Level Fuzzy Logic Controllers for Medium Access Control in Wireless Body Area Networks -- Statistical Analysis of Social Coding in GitHub Hypernetwork -- Swarm Intelligence -- Sparse Restricted Boltzmann Machine Based on Multiobjective Optimization -- A Knee Point Driven Particle Swarm Optimization Algorithm for Sparse Reconstruction -- Multivariant optimization algorithm with bimodal-gauss -- Enhanced Comprehensive Learning Particle Swarm Optimization with Exemplar Evolution -- Recommending PSOvariants using meta-learning framework for global optimization -- Augmented Brain Storm Optimization with Mutation Strategies -- A new precedence-based Ant Colony Optimization for permutation problems -- A general swarm intelligence model for continuous function optimization -- A Hybrid Particle Swarm Optimization for High-Dimensional Dynamic Optimization -- Visualizing the Search Dynamics in a High-dimensional Space for a Particle Swarm Optimizer -- Particle Swarm Optimization with Winning Score Assignment for Multi-objective Portfolio Optimization -- Conservatism and Adventurism in Particle Swarm Optimization Algorithm -- A competitive social spider optimization with learning strategy for PID controller optimization.  . Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 11th International Conference on Simulated Evolution and Learning, SEAL 2017, held in Shenzhen, China, in November 2017. The 85 papers presented in this volume were carefully reviewed and selected from 145 submissions. They were organized in topical sections named: evolutionary optimisation; evolutionary multiobjective optimisation; evolutionary machine learning; theoretical developments; feature selection and dimensionality reduction; dynamic and uncertain environments; real-world applications; adaptive systems; and swarm intelligence. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Simulated Evolution and Learning : 11th International Conference, SEAL 2017, Shenzhen, China, November 10–13, 2017, Proceedings / [documento electrónico] / Shi, Yuhui, ; Tan, Kay Chen, ; Zhang, Mengjie, ; Tang, Ke, ; Li, Xiaodong, ; Zhang, Qingfu, ; Tan, Ying, ; Middendorf, Martin, ; Jin, Yaochu, . - 1 ed. . - [s.l.] : Springer, 2017 . - XXII, 1041 p. 317 ilustraciones.
ISBN : 978-3-319-68759-9
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Ciencias de la Computación Inteligencia artificial Algoritmos Red de computadoras Simulación por ordenador TeorÃa de la Computación Modelos de Computación Redes de comunicación informática Modelado por computadora Clasificación: 40.151 Resumen: Este libro constituye las actas arbitradas de la 11.ª Conferencia Internacional sobre Evolución y Aprendizaje Simulado, SEAL 2017, celebrada en Shenzhen, China, en noviembre de 2017. Los 85 artÃculos presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 145 presentaciones. Estaban organizados en secciones temáticas denominadas: optimización evolutiva; optimización evolutiva multiobjetivo; aprendizaje automático evolutivo; desarrollos teóricos; selección de caracterÃsticas y reducción de dimensionalidad; entornos dinámicos e inciertos; aplicaciones del mundo real; sistemas adaptativos; e inteligencia de enjambre. Nota de contenido: Evolutionary Optimisation -- Maximum Likelihood Estimation based on Random Subspace EDA: Application to Extrasolar Planet Detection -- Evolutionary Games Network Reconstruction by Memetic Algorithm with l1/2 Regularization -- A Simple Brain Storm Optimization Algorithm via Visualizing Confidence Intervals -- Simulated Annealing with a Time-slot Heuristic for Ready-mix Concrete Delivery -- A Sequential Learnable Evolutionary Algorithm with a Novel Knowledge Base Generation Method -- Using Parallel Strategies to Speed Up Pareto Local Search -- Differential evolution based hyper-heuristic for the flexible job-shop scheduling problem with fuzzy processing time -- ACO-iRBA: A Hybrid Approach to TSPN with Overlapping Neighborhoods -- An Evolutionary Algorithm with A New Coding Scheme for Multi-objective Portfolio Optimization -- Exact Approaches for the Travelling Thief Problem -- On the Use of Dynamic Reference Points in HypE -- Multi-Factorial Evolutionary Algorithm Based on M2M Decomposition -- An Efficient Local Search Algorithm for Minimum Weighted Vertex Cover on Massive Graphs -- Interactive Genetic Algorithm with Group Intelligence Articulated Possibilistic Condition Preference Model -- GP-Based Approach to Comprehensive Quality-Aware Automated Semantic Web Service Composition -- Matrix Factorization based Benchmark Set Analysis: A Case Study on HyFlex.-Learning to Describe Collective Search Behavior of Evolutionary Algorithms in Solution Space -- Evolutionary Multiobjective Optimisation -- A Hierarchical Decomposition-based Evolutionary Many-objective Algorithm -- Adjusting Parallel Coordinates for Investigating Multi-Objective Search -- An Elite Archive-based MOEA/D Algorithm -- A constraint partitioning method based on minimax strategy for constrained multiobjective optimization problems -- A Fast Objective Reduction Algorithm based on Dominance Structure for Many Objective Optimization -- A memetic algorithm based on decomposition and extended search for Multi-Objective CapacitatedArc Routing Problem -- Improvement of reference points for decomposition based multi-objective evolutionary algorithms -- Multi-Objective Evolutionary Optimization for Autonomous Intersection Management -- Study of an adaptive control of aggregate functions in MOEA/D -- Use of Inverted Triangular Weight Vectors in Decomposition-Based Many-Objective Algorithms -- Surrogate Model Assisted Multi-Objective Differential Evolution Algorithm for Performance Optimization at Software Architecture Level -- Normalized Ranking Based Particle Swarm Optimizer for Many Objective Optimization -- Evolutionary Machine Learning -- A Study on Pre-Training Deep Neural Networks Using Particle Swarm Optimisation -- Simple Linkage Identification Using Genetic Clustering -- Learning of Sparse Fuzzy Cognitive Maps Using Evolutionary Algorithm with Lasso Initialization -- A Bayesian Restarting Approach to Algorithm Selection -- Evolutionary Learning based Iterated Local Search for Google Machine Reassignment Problems -- Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression -- Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling -- Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning -- Adaptive Memetic Algorithm Based Evolutionary Multi-tasking Single-objective Optimization -- Effective Policy Gradient Search for Reinforcement Learning through NEAT based Feature Extraction -- Generalized Hybrid Evolutionary Algorithm Framework with a Mutation Operator Requiring no Adaptation -- A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors -- Theoretical Developments -- Running-time Analysis of Particle Swarm Optimization with a Single Particle Based on Average Gain -- Evolutionary Computation Theory for Remote Sensing Image Clustering: A Survey -- Feature Selection and Dimensionality Reduction -- New Representations in Genetic Programming for Feature Construction in k-means Clustering -- Transductive Transfer Learning in Genetic Programming for Document Classification -- Automatic Feature Construction for Network Intrusion Detection -- A Feature Subset Evaluation Method based on Multi-objective Optimization -- A Hybrid GA-GP Method for Feature Reduction in Classification -- Kernel Construction and Feature Subset Selection in Support Vector Machines -- KW-Race and Fast KW-Race: Racing-based Frameworks for Tuning Parameters of Evolutionary Algorithms on Black-box Optimization Problems -- Dynamic and Uncertain Environments -- A Probabilistic Learning Algorithm for the Shortest Path Problem -- A first-order difference model-based evolutionary dynamic multiobjective optimization -- A Construction Graph-based Evolutionary Algorithm For Traveling Salesman Problem -- Real-world Applications -- Bi-objective water cycle algorithm for solving remanufacturing rescheduling problem -- A New Method for Constructing Ensemble Classifier in Privacy-Preserving Distributed Environment -- Greedy based Pareto Local Search for Bi-objective Robust Airport Gate Assignment Problem -- Multi-neighbourhood Great Deluge for Google Machine Reassignment Problem -- Evolutionary Optimization of Airport Security Inspection Allocation -- Evolving Directional Changes Trading Strategies with a New Event-based Indicator -- Constrained Differential Evolution for Cost and Energy Efficiency Optimization in 5G Wireless Networks -- Evolutionary Computation to Determine Product Builds in Open Pit Mining -- An Evolutionary Vulnerability Detection Method for HFSWR Ship Tracking Algorithm -- Genetic Programming for Lifetime Maximization in Wireless Sensor Networks with Mobile Sink -- Unsupervised Change Detection for Remote Sensing Images Based on Principal Component Analysis and Differential Evolution -- Parallel particle swarm optimization for community detection in large-scale networks -- Multi-objective memetic algorithm based onthree-dimentional request prediction for dynamic pickup-and-delivery problem with time windows -- Optimization of Spectrum-Energy Efficiency in Heterogeneous Communication Network -- Large scale WSN deployment based on an improved cooperative coevolutionary PSO with global differential grouping -- Adaptive Systems -- Learning Fuzzy Cognitive Maps Using a Genetic Algorithm with Decision-making Trial and Evaluation -- Dynamic and Adaptive Threshold for DNN Compression from Scratch -- Cooperative Design of Two Level Fuzzy Logic Controllers for Medium Access Control in Wireless Body Area Networks -- Statistical Analysis of Social Coding in GitHub Hypernetwork -- Swarm Intelligence -- Sparse Restricted Boltzmann Machine Based on Multiobjective Optimization -- A Knee Point Driven Particle Swarm Optimization Algorithm for Sparse Reconstruction -- Multivariant optimization algorithm with bimodal-gauss -- Enhanced Comprehensive Learning Particle Swarm Optimization with Exemplar Evolution -- Recommending PSOvariants using meta-learning framework for global optimization -- Augmented Brain Storm Optimization with Mutation Strategies -- A new precedence-based Ant Colony Optimization for permutation problems -- A general swarm intelligence model for continuous function optimization -- A Hybrid Particle Swarm Optimization for High-Dimensional Dynamic Optimization -- Visualizing the Search Dynamics in a High-dimensional Space for a Particle Swarm Optimizer -- Particle Swarm Optimization with Winning Score Assignment for Multi-objective Portfolio Optimization -- Conservatism and Adventurism in Particle Swarm Optimization Algorithm -- A competitive social spider optimization with learning strategy for PID controller optimization.  . Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 11th International Conference on Simulated Evolution and Learning, SEAL 2017, held in Shenzhen, China, in November 2017. The 85 papers presented in this volume were carefully reviewed and selected from 145 submissions. They were organized in topical sections named: evolutionary optimisation; evolutionary multiobjective optimisation; evolutionary machine learning; theoretical developments; feature selection and dimensionality reduction; dynamic and uncertain environments; real-world applications; adaptive systems; and swarm intelligence. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
