Información del autor
Autor Zhang, Qingfu |
Documentos disponibles escritos por este autor (5)
Crear una solicitud de compra Refinar búsqueda11th International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings / Ishibuchi, Hisao ; Zhang, Qingfu ; Cheng, Ran ; Li, Ke ; Li, Hui ; Wang, Handing ; Zhou, Aimin
TÃtulo : 11th International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings Tipo de documento: documento electrónico Autores: Ishibuchi, Hisao, ; Zhang, Qingfu, ; Cheng, Ran, ; Li, Ke, ; Li, Hui, ; Wang, Handing, ; Zhou, Aimin, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XVI, 781 p. 235 ilustraciones, 193 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-72062-9 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Algoritmos Ciencias de la Computación Inteligencia artificial Informática Diseño y Análisis de Algoritmos Modelos de Computación Matemáticas de la Computación Clasificación: Resumen: Este libro constituye las actas arbitradas de la 11.ª Conferencia Internacional sobre Optimización Multicriterio Evolutiva, EMO 2021, celebrada en Shenzhen (China) en marzo de 2021. Los 47 artÃculos completos y los 14 artÃculos breves se revisaron cuidadosamente y se seleccionaron de entre 120 presentaciones. Los artÃculos se dividen en las siguientes secciones temáticas: teorÃa; algoritmos; optimización multiobjetivo dinámica; optimización multiobjetivo restringida; optimización multimodal; optimización multiobjetivo; evaluaciones de rendimiento y estudios empÃricos; EMO y aprendizaje automático; modelado sustituto y optimización costosa; MCDM y EMO interactiva; y aplicaciones. Nota de contenido: Theory -- It Is Hard to Distinguish Between Dominance Resistant Solutions and Extremely Convex Pareto Optimal Solutions -- On Analysis of Irregular Pareto Front Shapes -- On Statistical Analysis of MOEAs with Multiple Performance Indicators -- Algorithms -- Population Sizing of Evolutionary Large-Scale Multiobjective Optimization -- Kernel Density Estimation for Reliable Biobjective Solution of Stochastic Problems -- Approximating Pareto Fronts in Evolutionary Multiobjective Optimization with Large Population Size -- Multitask Feature Selection for Objective Reduction -- Embedding a Repair Operator in Evolutionary Single and Multi-Objective Algorithms - An Exploitation-Exploration Perspective -- Combining User Knowledge and Online Innovization for Faster Solution to Multi-Objective Design Optimization Problems -- Improving the Efficiency of R2HCA-EMOA -- Pareto Front Estimation Using Unit Hyperplane -- Towards Multi-Objective Co-Evolutionary Problem Solving -- MOEA/D for Multiple Multi-Objective Optimization -- Using a Genetic Algorithm-Based Hyper-heuristic to Tune MOEA/D for a Set of Benchmark Test Problems -- Diversity-Driven Selection Operator for Combinatorial Optimization -- Dynamic Multi-Objective Optimization -- An Online Machine Learning-Based Prediction Strategy for Dynamic Evolutionary Multi-Objective Optimization -- Generalized Test Suite for Continuous Dynamic Multi-Objective Optimization -- A Special Point and Transfer Component Analysis based Dynamic Multi-Objective Optimization Algorithm -- Constrained Multi-Objective Optimization -- An Improved Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization -- An Improved Epsilon Method with M2M for Solving Imbalanced CMOPs with Simultaneous Convergence-Hard and Diversity-Hard Constraints -- Constrained Bi-objective Surrogate-Assisted Optimization of Problems with Heterogeneous Evaluation Times: Expensive Objectives and Inexpensive Constraints -- SAMO-COBRA: A Fast Surrogate Assisted Constrained Multi-Objective Optimization Algorithm -- A Fast Converging Evolutionary Algorithm for Constrained Multiobjective Portfolio Optimization -- Manifold Learning Inspired Mating Restriction for Evolutionary Constrained Multiobjective Optimization -- Multi-Modal Optimization -- Multi3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-Objective Space by Means of Multiobjectivization -- Niching Diversity Estimation for Multi-modal Multi-Objective Optimization -- Using Neighborhood-Based Density Measures for Multimodal Multi-Objective Optimization -- Many-Objective Optimization -- The (M-1)+1 Framework of Relaxed Pareto Dominance for Evolutionary Many-Objective Optimization -- Handling Priority Levels in Mixed Pareto-Lexicographic Many-Objective Optimization Problems -- Many-Objective Pathfinding based on Fréchet Similarity Metric -- The Influence of Swarm Topologies in Many-Objective Optimization Problems -- Performance Evaluations and Empirical Studies -- An Overview of Pair-Potential Functions for Multi-Objective Optimization -- On the Parameter Setting of the Penalty-Based Boundary Intersection Method in MOEA/D -- A Comparison Study of Evolutionary Algorithms on Large-Scale Sparse Multi-Objective Optimization Problems -- EMO and Machine Learning -- Discounted Sampling Policy Gradient for Robot Multi-Objective Visual Control -- Lexicographic Constrained Multicriteria Ordered Clustering -- Local Search is a Remarkably Strong Baseline for Neural Architecture Search -- A Study on Realtime Task Selection based on Credit Information Updating in Evolutionary Multitasking -- Multi-Objective Neural Architecture Search with Almost No Training -- On the Interaction Between Distance Functions and Clustering Criteria in Multi-objective Clustering -- Surrogate Modeling and Expensive Optimization -- Investigating normalization bounds for hypervolume-based infill criterion for expensive multiobjective optimization -- Pareto-Based Bi-indicator Infill Sampling Criterion for Expensive Multiobjective Optimization -- MOEA/D with Gradient-Enhanced Kriging for Multiobjective Optimization -- Exploring Constraint Handling Techniques in Real-world Problems on MOEA/D with Limited Budget of Evaluations -- Dimension Dropout for Evolutionary High-Dimensional Expensive Multiobjective Optimization -- Multiobjective Optimization with Fuzzy Classification-assisted Environmental Selection -- Surrogate-Assisted Multi-Objective Particle Swarm Optimization for Building Energy Saving Design -- Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model -- MCDM and Interactive EMO -- An Artificial Decision Maker for Comparing Reference Point Based Interactive Evolutionary Multiobjective Optimization Methods -- To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes -- Interpretable Self-Organizing Maps (iSOM) for Visualization of Pareto Front in Multiple Objective Optimization -- Applications -- An Investigation of Decomposition-based Metaheuristics for Resource-Constrained Multi-objective Feature Selection in Software Product Lines -- Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation -- Multi-Objective Reinforcement Learning based Multi-Microgrid System Optimisation Problem -- Pareto Optimization for Influence Maximization in Social Networks -- Parallel Algorithms for Multiobjective Virtual Network Function Placement Problem -- Using Multi-Objective Grammar-based Genetic Programming to Integrate Multiple Social Theories in Agent-based Modeling -- Change Detection in SAR Images based on Evolutionary Multiobjective Optimization and Superpixel Segmentation -- Multi-Objective Emergency Resource Dispatch Based on Coevolutionary Multiswarm Particle Swarm Optimization -- Prediction of Blast Furnace Temperature Based on Evolutionary Optimization -- Multiobjective Optimization Design of Broadband Dual-Polarized Base Station Antenna. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 11th International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings [documento electrónico] / Ishibuchi, Hisao, ; Zhang, Qingfu, ; Cheng, Ran, ; Li, Ke, ; Li, Hui, ; Wang, Handing, ; Zhou, Aimin, . - 1 ed. . - [s.l.] : Springer, 2021 . - XVI, 781 p. 235 ilustraciones, 193 ilustraciones en color.
ISBN : 978-3-030-72062-9
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Algoritmos Ciencias de la Computación Inteligencia artificial Informática Diseño y Análisis de Algoritmos Modelos de Computación Matemáticas de la Computación Clasificación: Resumen: Este libro constituye las actas arbitradas de la 11.ª Conferencia Internacional sobre Optimización Multicriterio Evolutiva, EMO 2021, celebrada en Shenzhen (China) en marzo de 2021. Los 47 artÃculos completos y los 14 artÃculos breves se revisaron cuidadosamente y se seleccionaron de entre 120 presentaciones. Los artÃculos se dividen en las siguientes secciones temáticas: teorÃa; algoritmos; optimización multiobjetivo dinámica; optimización multiobjetivo restringida; optimización multimodal; optimización multiobjetivo; evaluaciones de rendimiento y estudios empÃricos; EMO y aprendizaje automático; modelado sustituto y optimización costosa; MCDM y EMO interactiva; y aplicaciones. Nota de contenido: Theory -- It Is Hard to Distinguish Between Dominance Resistant Solutions and Extremely Convex Pareto Optimal Solutions -- On Analysis of Irregular Pareto Front Shapes -- On Statistical Analysis of MOEAs with Multiple Performance Indicators -- Algorithms -- Population Sizing of Evolutionary Large-Scale Multiobjective Optimization -- Kernel Density Estimation for Reliable Biobjective Solution of Stochastic Problems -- Approximating Pareto Fronts in Evolutionary Multiobjective Optimization with Large Population Size -- Multitask Feature Selection for Objective Reduction -- Embedding a Repair Operator in Evolutionary Single and Multi-Objective Algorithms - An Exploitation-Exploration Perspective -- Combining User Knowledge and Online Innovization for Faster Solution to Multi-Objective Design Optimization Problems -- Improving the Efficiency of R2HCA-EMOA -- Pareto Front Estimation Using Unit Hyperplane -- Towards Multi-Objective Co-Evolutionary Problem Solving -- MOEA/D for Multiple Multi-Objective Optimization -- Using a Genetic Algorithm-Based Hyper-heuristic to Tune MOEA/D for a Set of Benchmark Test Problems -- Diversity-Driven Selection Operator for Combinatorial Optimization -- Dynamic Multi-Objective Optimization -- An Online Machine Learning-Based Prediction Strategy for Dynamic Evolutionary Multi-Objective Optimization -- Generalized Test Suite for Continuous Dynamic Multi-Objective Optimization -- A Special Point and Transfer Component Analysis based Dynamic Multi-Objective Optimization Algorithm -- Constrained Multi-Objective Optimization -- An Improved Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization -- An Improved Epsilon Method with M2M for Solving Imbalanced CMOPs with Simultaneous Convergence-Hard and Diversity-Hard Constraints -- Constrained Bi-objective Surrogate-Assisted Optimization of Problems with Heterogeneous Evaluation Times: Expensive Objectives and Inexpensive Constraints -- SAMO-COBRA: A Fast Surrogate Assisted Constrained Multi-Objective Optimization Algorithm -- A Fast Converging Evolutionary Algorithm for Constrained Multiobjective Portfolio Optimization -- Manifold Learning Inspired Mating Restriction for Evolutionary Constrained Multiobjective Optimization -- Multi-Modal Optimization -- Multi3: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-Objective Space by Means of Multiobjectivization -- Niching Diversity Estimation for Multi-modal Multi-Objective Optimization -- Using Neighborhood-Based Density Measures for Multimodal Multi-Objective Optimization -- Many-Objective Optimization -- The (M-1)+1 Framework of Relaxed Pareto Dominance for Evolutionary Many-Objective Optimization -- Handling Priority Levels in Mixed Pareto-Lexicographic Many-Objective Optimization Problems -- Many-Objective Pathfinding based on Fréchet Similarity Metric -- The Influence of Swarm Topologies in Many-Objective Optimization Problems -- Performance Evaluations and Empirical Studies -- An Overview of Pair-Potential Functions for Multi-Objective Optimization -- On the Parameter Setting of the Penalty-Based Boundary Intersection Method in MOEA/D -- A Comparison Study of Evolutionary Algorithms on Large-Scale Sparse Multi-Objective Optimization Problems -- EMO and Machine Learning -- Discounted Sampling Policy Gradient for Robot Multi-Objective Visual Control -- Lexicographic Constrained Multicriteria Ordered Clustering -- Local Search is a Remarkably Strong Baseline for Neural Architecture Search -- A Study on Realtime Task Selection based on Credit Information Updating in Evolutionary Multitasking -- Multi-Objective Neural Architecture Search with Almost No Training -- On the Interaction Between Distance Functions and Clustering Criteria in Multi-objective Clustering -- Surrogate Modeling and Expensive Optimization -- Investigating normalization bounds for hypervolume-based infill criterion for expensive multiobjective optimization -- Pareto-Based Bi-indicator Infill Sampling Criterion for Expensive Multiobjective Optimization -- MOEA/D with Gradient-Enhanced Kriging for Multiobjective Optimization -- Exploring Constraint Handling Techniques in Real-world Problems on MOEA/D with Limited Budget of Evaluations -- Dimension Dropout for Evolutionary High-Dimensional Expensive Multiobjective Optimization -- Multiobjective Optimization with Fuzzy Classification-assisted Environmental Selection -- Surrogate-Assisted Multi-Objective Particle Swarm Optimization for Building Energy Saving Design -- Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model -- MCDM and Interactive EMO -- An Artificial Decision Maker for Comparing Reference Point Based Interactive Evolutionary Multiobjective Optimization Methods -- To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes -- Interpretable Self-Organizing Maps (iSOM) for Visualization of Pareto Front in Multiple Objective Optimization -- Applications -- An Investigation of Decomposition-based Metaheuristics for Resource-Constrained Multi-objective Feature Selection in Software Product Lines -- Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation -- Multi-Objective Reinforcement Learning based Multi-Microgrid System Optimisation Problem -- Pareto Optimization for Influence Maximization in Social Networks -- Parallel Algorithms for Multiobjective Virtual Network Function Placement Problem -- Using Multi-Objective Grammar-based Genetic Programming to Integrate Multiple Social Theories in Agent-based Modeling -- Change Detection in SAR Images based on Evolutionary Multiobjective Optimization and Superpixel Segmentation -- Multi-Objective Emergency Resource Dispatch Based on Coevolutionary Multiswarm Particle Swarm Optimization -- Prediction of Blast Furnace Temperature Based on Evolutionary Optimization -- Multiobjective Optimization Design of Broadband Dual-Polarized Base Station Antenna. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : 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. 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: 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.  . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 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.
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: 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.  . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : 13th International Conference, BIC-TA 2018, Beijing, China, November 2–4, 2018, Proceedings, Part I Tipo de documento: documento electrónico Autores: Qiao, Jianyong, ; Zhao, Xinchao, ; Pan, Linqiang, ; Zuo, Xingquan, ; Zhang, Xingyi, ; Zhang, Qingfu, ; Huang, Shanguo, Mención de edición: 1 ed. Editorial: Singapore [Malasya] : Springer Fecha de publicación: 2018 Número de páginas: XVIII, 521 p. 231 ilustraciones ISBN/ISSN/DL: 978-981-1328268-- Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Inteligencia artificial Algoritmos Red de computadoras Redes de comunicación informática Clasificación: Resumen: Este conjunto de dos volúmenes (CCIS 951 y CCIS 952) constituye las actas de la 13.ª Conferencia Internacional sobre Computación Bioinspirada: TeorÃas y Aplicaciones, BIC-TA 2018, celebrada en Beijing, China, en noviembre de 2018. Los 88 artÃculos completos presentados en ambos volúmenes fueron seleccionados entre 206 presentaciones. Los artÃculos tratan de estudios que abstraen ideas informáticas como estructuras de datos, operaciones con datos, formas de controlar operaciones, modelos informáticos de fenómenos vivos o sistemas biológicos como la evolución, células, redes neuronales, sistemas inmunológicos, inteligencia de enjambre. Nota de contenido: Data structures -- Operations with data -- Ways to control operations -- Computing models from living phenomena or biological systems. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 13th International Conference, BIC-TA 2018, Beijing, China, November 2–4, 2018, Proceedings, Part I [documento electrónico] / Qiao, Jianyong, ; Zhao, Xinchao, ; Pan, Linqiang, ; Zuo, Xingquan, ; Zhang, Xingyi, ; Zhang, Qingfu, ; Huang, Shanguo, . - 1 ed. . - Singapore [Malasya] : Springer, 2018 . - XVIII, 521 p. 231 ilustraciones.
ISBN : 978-981-1328268--
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Inteligencia artificial Algoritmos Red de computadoras Redes de comunicación informática Clasificación: Resumen: Este conjunto de dos volúmenes (CCIS 951 y CCIS 952) constituye las actas de la 13.ª Conferencia Internacional sobre Computación Bioinspirada: TeorÃas y Aplicaciones, BIC-TA 2018, celebrada en Beijing, China, en noviembre de 2018. Los 88 artÃculos completos presentados en ambos volúmenes fueron seleccionados entre 206 presentaciones. Los artÃculos tratan de estudios que abstraen ideas informáticas como estructuras de datos, operaciones con datos, formas de controlar operaciones, modelos informáticos de fenómenos vivos o sistemas biológicos como la evolución, células, redes neuronales, sistemas inmunológicos, inteligencia de enjambre. Nota de contenido: Data structures -- Operations with data -- Ways to control operations -- Computing models from living phenomena or biological systems. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : 13th International Conference, BIC-TA 2018, Beijing, China, November 2–4, 2018, Proceedings, Part II Tipo de documento: documento electrónico Autores: Qiao, Jianyong, ; Zhao, Xinchao, ; Pan, Linqiang, ; Zuo, Xingquan, ; Zhang, Xingyi, ; Zhang, Qingfu, ; Huang, Shanguo, Mención de edición: 1 ed. Editorial: Singapore [Malasya] : Springer Fecha de publicación: 2018 Número de páginas: XVIII, 491 p. 185 ilustraciones ISBN/ISSN/DL: 978-981-1328299-- Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Inteligencia artificial Algoritmos Red de computadoras Redes de comunicación informática Clasificación: Resumen: Este conjunto de dos volúmenes (CCIS 951 y CCIS 952) constituye las actas de la 13.ª Conferencia Internacional sobre Computación Bioinspirada: TeorÃas y Aplicaciones, BIC-TA 2018, celebrada en Beijing, China, en noviembre de 2018. Los 88 artÃculos completos presentados en ambos volúmenes fueron seleccionados entre 206 presentaciones. Los artÃculos tratan de estudios que abstraen ideas informáticas como estructuras de datos, operaciones con datos, formas de controlar operaciones, modelos informáticos de fenómenos vivos o sistemas biológicos como la evolución, células, redes neuronales, sistemas inmunológicos, inteligencia de enjambre. Nota de contenido: Data structures -- Operations with data -- Ways to control operations -- Computing models from living phenomena or biological systems. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 13th International Conference, BIC-TA 2018, Beijing, China, November 2–4, 2018, Proceedings, Part II [documento electrónico] / Qiao, Jianyong, ; Zhao, Xinchao, ; Pan, Linqiang, ; Zuo, Xingquan, ; Zhang, Xingyi, ; Zhang, Qingfu, ; Huang, Shanguo, . - 1 ed. . - Singapore [Malasya] : Springer, 2018 . - XVIII, 491 p. 185 ilustraciones.
ISBN : 978-981-1328299--
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Inteligencia artificial Algoritmos Red de computadoras Redes de comunicación informática Clasificación: Resumen: Este conjunto de dos volúmenes (CCIS 951 y CCIS 952) constituye las actas de la 13.ª Conferencia Internacional sobre Computación Bioinspirada: TeorÃas y Aplicaciones, BIC-TA 2018, celebrada en Beijing, China, en noviembre de 2018. Los 88 artÃculos completos presentados en ambos volúmenes fueron seleccionados entre 206 presentaciones. Los artÃculos tratan de estudios que abstraen ideas informáticas como estructuras de datos, operaciones con datos, formas de controlar operaciones, modelos informáticos de fenómenos vivos o sistemas biológicos como la evolución, células, redes neuronales, sistemas inmunológicos, inteligencia de enjambre. Nota de contenido: Data structures -- Operations with data -- Ways to control operations -- Computing models from living phenomena or biological systems. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Advances in Computational Intelligence Systems : Contributions Presented at the 17th UK Workshop on Computational Intelligence, September 6-8, 2017, Cardiff, UK Tipo de documento: documento electrónico Autores: Chao, Fei, ; Schockaert, Steven, ; Zhang, Qingfu, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XII, 368 p. 143 ilustraciones ISBN/ISSN/DL: 978-3-319-66939-7 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Inteligencia Computacional Inteligencia artificial Clasificación: Resumen: El libro es un informe oportuno sobre métodos avanzados y aplicaciones de sistemas de inteligencia computacional. Cubre una larga lista de áreas de investigación interconectadas, como sistemas difusos, redes neuronales, computación evolutiva, sistemas en evolución y aprendizaje automático. Los capÃtulos individuales se basan en contribuciones revisadas por pares presentadas en el 17º Taller Anual sobre Inteligencia Computacional del Reino Unido, celebrado del 6 al 8 de septiembre de 2017 en Cardiff, Reino Unido. El libro pone especial énfasis en métodos novedosos e informa sobre su uso en una amplia gama de áreas de aplicaciones, proporcionando asà tanto a académicos como a profesionales una visión general completa y oportuna de las nuevas tendencias en inteligencia computacional. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Computational Intelligence Systems : Contributions Presented at the 17th UK Workshop on Computational Intelligence, September 6-8, 2017, Cardiff, UK [documento electrónico] / Chao, Fei, ; Schockaert, Steven, ; Zhang, Qingfu, . - 1 ed. . - [s.l.] : Springer, 2018 . - XII, 368 p. 143 ilustraciones.
ISBN : 978-3-319-66939-7
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Inteligencia Computacional Inteligencia artificial Clasificación: Resumen: El libro es un informe oportuno sobre métodos avanzados y aplicaciones de sistemas de inteligencia computacional. Cubre una larga lista de áreas de investigación interconectadas, como sistemas difusos, redes neuronales, computación evolutiva, sistemas en evolución y aprendizaje automático. Los capÃtulos individuales se basan en contribuciones revisadas por pares presentadas en el 17º Taller Anual sobre Inteligencia Computacional del Reino Unido, celebrado del 6 al 8 de septiembre de 2017 en Cardiff, Reino Unido. El libro pone especial énfasis en métodos novedosos e informa sobre su uso en una amplia gama de áreas de aplicaciones, proporcionando asà tanto a académicos como a profesionales una visión general completa y oportuna de las nuevas tendencias en inteligencia computacional. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
