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005 Ciencia de los computadores (Programación, programas, datos de computador)Documentos en la biblioteca con la clasificación 005.13 (70)
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. Idioma : Inglés (eng) Palabras clave: Algoritmos Ciencias de la Computación Inteligencia artificial Informática Diseño y Análisis de Algoritmos Modelos de Computación Matemáticas de la Computación Clasificación: 005.13 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. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 11th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2021 held in Shenzhen, China, in March 2021. The 47 full papers and 14 short papers were carefully reviewed and selected from 120 submissions. The papers are divided into the following topical sections: theory; algorithms; dynamic multi-objective optimization; constrained multi-objective optimization; multi-modal optimization; many-objective optimization; performance evaluations and empirical studies; EMO and machine learning; surrogate modeling and expensive optimization; MCDM and interactive EMO; and applications. 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.
Idioma : Inglés (eng)
Palabras clave: Algoritmos Ciencias de la Computación Inteligencia artificial Informática Diseño y Análisis de Algoritmos Modelos de Computación Matemáticas de la Computación Clasificación: 005.13 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. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 11th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2021 held in Shenzhen, China, in March 2021. The 47 full papers and 14 short papers were carefully reviewed and selected from 120 submissions. The papers are divided into the following topical sections: theory; algorithms; dynamic multi-objective optimization; constrained multi-objective optimization; multi-modal optimization; many-objective optimization; performance evaluations and empirical studies; EMO and machine learning; surrogate modeling and expensive optimization; MCDM and interactive EMO; and applications. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : 11th International Conference, ICCL 2020, Enschede, The Netherlands, September 28–30, 2020, Proceedings Tipo de documento: documento electrónico Autores: Lalla-Ruiz, Eduardo, ; Mes, Martijn, ; Voß, Stefan, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XIII, 780 p. 238 ilustraciones ISBN/ISSN/DL: 978-3-030-59747-4 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: Algoritmos Inteligencia artificial Red de computadoras Sistemas informáticos Estructuras de datos (Informática) TeorÃa de la información Diseño y Análisis de Algoritmos Redes de comunicación informática Implementación de sistema informático Estructuras de datos y teorÃa de la información Clasificación: 005.13 Resumen: Este libro constituye las actas de la 11.ª Conferencia Internacional sobre LogÃstica Computacional, ICCL 2020, celebrada en Enschede, PaÃses Bajos, en septiembre de 2020. Los 49 artÃculos incluidos en este libro fueron cuidadosamente revisados ​​y seleccionados entre 73 presentaciones. Se organizaron en secciones temáticas denominadas: logÃstica marÃtima y portuaria; rutas y programación de vehÃculos; distribución de mercancÃas y logÃstica urbana; diseño y programación de redes; y temas seleccionados en logÃstica. Debido a la pandemia de Corona, ICCL 2020 se llevó a cabo como un evento virtual. Nota de contenido: Maritime and port logistics -- Vehicle routing and scheduling -- Freight distribution and city logistics -- Network design and scheduling. Tipo de medio : Computadora Summary : This book constitutes the proceedings of the 11th International Conference on Computational Logistics, ICCL 2020, held in Enschede, The Netherlands, in September 2020. The 49 papers included in this book were carefully reviewed and selected from 73 submissions. They were organized in topical sections named: maritime and port logistics; vehicle routing and scheduling; freight distribution and city logistics; network design and scheduling; and selected topics in logistics. Due to the Corona pandemic ICCL 2020 was held as a virtual event. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 11th International Conference, ICCL 2020, Enschede, The Netherlands, September 28–30, 2020, Proceedings [documento electrónico] / Lalla-Ruiz, Eduardo, ; Mes, Martijn, ; Voß, Stefan, . - 1 ed. . - [s.l.] : Springer, 2020 . - XIII, 780 p. 238 ilustraciones.
ISBN : 978-3-030-59747-4
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: Algoritmos Inteligencia artificial Red de computadoras Sistemas informáticos Estructuras de datos (Informática) TeorÃa de la información Diseño y Análisis de Algoritmos Redes de comunicación informática Implementación de sistema informático Estructuras de datos y teorÃa de la información Clasificación: 005.13 Resumen: Este libro constituye las actas de la 11.ª Conferencia Internacional sobre LogÃstica Computacional, ICCL 2020, celebrada en Enschede, PaÃses Bajos, en septiembre de 2020. Los 49 artÃculos incluidos en este libro fueron cuidadosamente revisados ​​y seleccionados entre 73 presentaciones. Se organizaron en secciones temáticas denominadas: logÃstica marÃtima y portuaria; rutas y programación de vehÃculos; distribución de mercancÃas y logÃstica urbana; diseño y programación de redes; y temas seleccionados en logÃstica. Debido a la pandemia de Corona, ICCL 2020 se llevó a cabo como un evento virtual. Nota de contenido: Maritime and port logistics -- Vehicle routing and scheduling -- Freight distribution and city logistics -- Network design and scheduling. Tipo de medio : Computadora Summary : This book constitutes the proceedings of the 11th International Conference on Computational Logistics, ICCL 2020, held in Enschede, The Netherlands, in September 2020. The 49 papers included in this book were carefully reviewed and selected from 73 submissions. They were organized in topical sections named: maritime and port logistics; vehicle routing and scheduling; freight distribution and city logistics; network design and scheduling; and selected topics in logistics. Due to the Corona pandemic ICCL 2020 was held as a virtual event. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : 12th International Conference, CIAC 2021, Virtual Event, May 10–12, 2021, Proceedings Tipo de documento: documento electrónico Autores: Calamoneri, Tiziana, ; Corò, Federico, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XI, 410 p. 33 ilustraciones ISBN/ISSN/DL: 978-3-030-75242-2 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: Algoritmos Gráficos de computadora Informática Sistemas informáticos Inteligencia artificial Diseño y Análisis de Algoritmos Manipulación simbólica y algebraica Implementación de sistema informático Clasificación: 005.13 Resumen: Este libro constituye las actas arbitradas de la 12.ª Conferencia Internacional sobre Algoritmos y Complejidad, CIAC 2019, celebrada como evento virtual en mayo de 2021. Los 28 artÃculos completos presentados junto con una conferencia invitada y dos resúmenes de conferencias invitadas fueron cuidadosamente revisados. y seleccionado entre 78 presentaciones. La Conferencia Internacional sobre Algoritmos y Complejidad tiene como objetivo proporcionar un foro para investigadores que trabajan en todos los aspectos de la complejidad computacional y el uso, diseño, análisis y experimentación de algoritmos y estructuras de datos eficientes. Los artÃculos presentan investigaciones originales en la teorÃa y aplicaciones de algoritmos y complejidad computacional. Debido a la pandemia de Corona, la conferencia se celebró de forma virtual. Nota de contenido: Abundant Extensions -- Three Problems on Well-Partitioned Chordal Graphs -- Distributed Distance-r Covering Problems on Sparse High-Girth Graphs -- Reconfiguration of Connected Graph Partitions via Recombination -- Algorithms for Energy Conservation in Heterogeneous Data Centers -- On Vertex-Weighted Graph Realizations -- On the Role of 3's for the 1-2-3 Conjecture -- Upper Tail Analysis of Bucket Sort and Random Tries -- Throughput Scheduling with Equal Additive Laxity -- Fragile Complexity of Adaptive Algorithms -- FPT and Kernelization Algorithms for the Induced Tree Problem -- A Tight Lower Bound for Edge-Disjoint Paths on Planar DAGs -- Upper Dominating Set: Tight Algorithms for Pathwidth and Sub-Exponential Approximation -- A Multistage View on 2-Satisfiability -- The Weisfeiler-Leman Algorithm and Recognition of Graph Properties -- The Parameterized Suffix Tray -- Exploring the Gap Between Treedepth and Vertex Cover Through Vertex Integrity -- Covering a Set of Line Segments with a Few Squares -- Circumventing Connectivity for Kernelization -- Online and Approximate Network Construction from Bounded Connectivity Constraints -- Globally Rigid Augmentation of Minimally Rigid Graphs in \(R^2\) -- Extending Partial Representations of Rectangular Duals with Given Contact Orientations -- Can Local Optimality be Used for Efficient Data Reduction -- Colouring Graphs of Bounded Diameter in the Absence of Small Cycles -- Online Two-Dimensional Vector Packing with Advice -- Temporal Matching on Geometric Graph Data. Tipo de medio : Computadora Summary : This book constitutes the refereed conference proceedings of the 12th International Conference on Algorithms and Complexity, CIAC 2019, held as a virtual event, in May 2021. The 28 full papers presented together with one invited lecture and 2 two abstracts of invited lectures were carefully reviewed and selected from 78 submissions. The International Conference on Algorithms and Complexity is intended to provide a forum for researchers working in all aspects of computational complexity and the use, design, analysis and experimentation of efficient algorithms and data structures. The papers present original research in the theory and applications of algorithms and computational complexity. Due to the Corona pandemic the conference was held virtually. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 12th International Conference, CIAC 2021, Virtual Event, May 10–12, 2021, Proceedings [documento electrónico] / Calamoneri, Tiziana, ; Corò, Federico, . - 1 ed. . - [s.l.] : Springer, 2021 . - XI, 410 p. 33 ilustraciones.
ISBN : 978-3-030-75242-2
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: Algoritmos Gráficos de computadora Informática Sistemas informáticos Inteligencia artificial Diseño y Análisis de Algoritmos Manipulación simbólica y algebraica Implementación de sistema informático Clasificación: 005.13 Resumen: Este libro constituye las actas arbitradas de la 12.ª Conferencia Internacional sobre Algoritmos y Complejidad, CIAC 2019, celebrada como evento virtual en mayo de 2021. Los 28 artÃculos completos presentados junto con una conferencia invitada y dos resúmenes de conferencias invitadas fueron cuidadosamente revisados. y seleccionado entre 78 presentaciones. La Conferencia Internacional sobre Algoritmos y Complejidad tiene como objetivo proporcionar un foro para investigadores que trabajan en todos los aspectos de la complejidad computacional y el uso, diseño, análisis y experimentación de algoritmos y estructuras de datos eficientes. Los artÃculos presentan investigaciones originales en la teorÃa y aplicaciones de algoritmos y complejidad computacional. Debido a la pandemia de Corona, la conferencia se celebró de forma virtual. Nota de contenido: Abundant Extensions -- Three Problems on Well-Partitioned Chordal Graphs -- Distributed Distance-r Covering Problems on Sparse High-Girth Graphs -- Reconfiguration of Connected Graph Partitions via Recombination -- Algorithms for Energy Conservation in Heterogeneous Data Centers -- On Vertex-Weighted Graph Realizations -- On the Role of 3's for the 1-2-3 Conjecture -- Upper Tail Analysis of Bucket Sort and Random Tries -- Throughput Scheduling with Equal Additive Laxity -- Fragile Complexity of Adaptive Algorithms -- FPT and Kernelization Algorithms for the Induced Tree Problem -- A Tight Lower Bound for Edge-Disjoint Paths on Planar DAGs -- Upper Dominating Set: Tight Algorithms for Pathwidth and Sub-Exponential Approximation -- A Multistage View on 2-Satisfiability -- The Weisfeiler-Leman Algorithm and Recognition of Graph Properties -- The Parameterized Suffix Tray -- Exploring the Gap Between Treedepth and Vertex Cover Through Vertex Integrity -- Covering a Set of Line Segments with a Few Squares -- Circumventing Connectivity for Kernelization -- Online and Approximate Network Construction from Bounded Connectivity Constraints -- Globally Rigid Augmentation of Minimally Rigid Graphs in \(R^2\) -- Extending Partial Representations of Rectangular Duals with Given Contact Orientations -- Can Local Optimality be Used for Efficient Data Reduction -- Colouring Graphs of Bounded Diameter in the Absence of Small Cycles -- Online Two-Dimensional Vector Packing with Advice -- Temporal Matching on Geometric Graph Data. Tipo de medio : Computadora Summary : This book constitutes the refereed conference proceedings of the 12th International Conference on Algorithms and Complexity, CIAC 2019, held as a virtual event, in May 2021. The 28 full papers presented together with one invited lecture and 2 two abstracts of invited lectures were carefully reviewed and selected from 78 submissions. The International Conference on Algorithms and Complexity is intended to provide a forum for researchers working in all aspects of computational complexity and the use, design, analysis and experimentation of efficient algorithms and data structures. The papers present original research in the theory and applications of algorithms and computational complexity. Due to the Corona pandemic the conference was held virtually. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings Tipo de documento: documento electrónico Autores: Mes, Martijn, ; Lalla-Ruiz, Eduardo, ; Voß, Stefan, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XII, 662 p. 169 ilustraciones, 120 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-87672-2 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: Algoritmos IngenierÃa Informática Red de computadoras Informática Inteligencia artificial Diseño y Análisis de Algoritmos IngenierÃa Informática y Redes Matemáticas de la Computación Clasificación: 005.13 Resumen: Este libro constituye las actas arbitradas de la 12.ª Conferencia Internacional sobre LogÃstica Computacional, ICCL 2021, celebrada en septiembre de 2021. Debido a la pandemia de COVID-19, la conferencia se celebró de forma virtual. Los 42 artÃculos completos fueron cuidadosamente revisados ​​y seleccionados entre 111 presentaciones. Detallan la interfaz de sistemas logÃsticos complejos y métodos computacionales avanzados de los campos de la investigación de operaciones, el análisis de negocios y la inteligencia artificial. Los artÃculos están organizados en secciones temáticas denominadas logÃstica marÃtima y portuaria; cadena de suministro y gestión de la producción; transporte urbano y logÃstica colaborativa; enrutamiento, despacho y programación; logÃstica aérea y transporte multimodal. Nota de contenido: Maritime and Port Logistics An Integrated Planning, Scheduling, Yard Allocation and Berth Allocation Problem in Bulk Ports: Model and Heuristics -- Simulation of an AIS System for the Port of Hamburg -- Designing the Hydrogen Supply Chain for Maritime Transportation in Norway -- Destination Prediction of Oil Tankers Using Graph Abstractions and Recurrent Neural Networks -- Scheduling Drillships in Offshore Activities -- Solving a Real-Life Tramp Ship Routing and Scheduling Problem with Speed Profiles -- Optimizing Maritime Preparedness under Uncertainty - Locating Tugboats along the Norwegian Coast -- Supply Chain and Production Management Layout-Agnostic Order Batching Optimization -- Automated Negotiation for Supply Chain Finance -- Production Scheduling with Stock- and Staff-related Restrictions -- Chances of Interpretable Transfer Learning for Human Activity Recognition in Warehousing -- A Multi-Periodic Modelling Approach for Integrated Warehouse Design and Product Allocation -- New Valid Inequalities for a Multi-echelon Multi-item Lot-sizing Problem with Returns and Lost Sales -- Interactive Multiobjective Optimization in Lot Sizing with Safety Stock and Safety Lead Time -- The Craft Beer Game and the Value of Information Sharing -- Smarter Relationships? The Present and Future Scope of AI Application in Buyer-Supplier Relationships -- The Effect of Order Batching on a Cyclical Order Picking System -- Bi-Objective Optimization for Joint Production Scheduling and Distribution Problem with Sustainability -- On the Effect of Product Demand Correlation on the Storage Space Allocation Problem in a Fast-Pick Area of a Warehouse -- Urban Transport and Collaborative Logistics Real-Time Dispatching with Local Search Improvement for Dynamic Ride-Sharing -- A Learning and Optimization Framework for Collaborative Urban Delivery Problems with Alliances -- Analysis of Schedules for Rural First and Last Mile Microtransit Services -- The Share-A-Ride Problem with Integrated Routing and Design Decisions: The Case of Mixed-Purpose Shared Autonomous Vehicles -- Algorithms for the Design of Round-trip Carsharing Systems with a Heterogeneous Fleet -- Exact Separation Algorithms for the Parallel Drone Scheduling Traveling Salesman Problem -- A Multi-Start VNS Algorithm for the TSP-D with Energy Constraints -- Formal Methods to Verify and Ensure Self-Coordination Abilities in the Internet of Vehicles -- Routing, Dispatching, and Scheduling Equipment Dispatching Problem for Underground Mine Under Stochastic Working Times -- Bhar Layeb Vertical Stability Constraints in Combined Vehicle Routing and 3D Container Loading Problems -- Automated Tour Planning for Driving Service of Children with Disabilities: A Web-Based Platform and a Case Study -- A Multi-objective Biased Random-Key Genetic Algorithm for Service Technician Routing and Scheduling Problem -- Optimization of Green Pickup and Delivery Operations in Multi-Depot Distribution Problems -- Solving the Shipment Rerouting Problem with Quantum Optimization Techniques -- Improving the Location of Roadside Assistance Resources through Incident Forecasting -- Solving a Multi-Objective Vehicle Routing Problem with Synchronization Constraint -- Air Logistics and Multi-modal Transport Analysis of the Impact of Physical Internet on the Container Loading Problem -- Applying Constraint Programming to the Multi-Mode Scheduling Problem in Harvest Logistics -- Tackling Uncertainty in Online Multimodal Transportation Planning using Deep Reinforcement Learning. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 12th International Conference on Computational Logistics, ICCL 2021, held in September 2021. Due to COVID-19 pandemic the conference was held virtually. The 42 full papers were carefully reviewed and selected from 111 submissions. They detail the interface of complex logistics systems and advanced computational methods from the fields of operations research, business analytics, and artificial intelligence. The papers are organized in topical sections named maritime and port logistics; supply chain and production management; urban transport and collaborative logistics; routing, dispatching, and scheduling; air logistics and multi-modal transport. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings [documento electrónico] / Mes, Martijn, ; Lalla-Ruiz, Eduardo, ; Voß, Stefan, . - 1 ed. . - [s.l.] : Springer, 2021 . - XII, 662 p. 169 ilustraciones, 120 ilustraciones en color.
ISBN : 978-3-030-87672-2
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: Algoritmos IngenierÃa Informática Red de computadoras Informática Inteligencia artificial Diseño y Análisis de Algoritmos IngenierÃa Informática y Redes Matemáticas de la Computación Clasificación: 005.13 Resumen: Este libro constituye las actas arbitradas de la 12.ª Conferencia Internacional sobre LogÃstica Computacional, ICCL 2021, celebrada en septiembre de 2021. Debido a la pandemia de COVID-19, la conferencia se celebró de forma virtual. Los 42 artÃculos completos fueron cuidadosamente revisados ​​y seleccionados entre 111 presentaciones. Detallan la interfaz de sistemas logÃsticos complejos y métodos computacionales avanzados de los campos de la investigación de operaciones, el análisis de negocios y la inteligencia artificial. Los artÃculos están organizados en secciones temáticas denominadas logÃstica marÃtima y portuaria; cadena de suministro y gestión de la producción; transporte urbano y logÃstica colaborativa; enrutamiento, despacho y programación; logÃstica aérea y transporte multimodal. Nota de contenido: Maritime and Port Logistics An Integrated Planning, Scheduling, Yard Allocation and Berth Allocation Problem in Bulk Ports: Model and Heuristics -- Simulation of an AIS System for the Port of Hamburg -- Designing the Hydrogen Supply Chain for Maritime Transportation in Norway -- Destination Prediction of Oil Tankers Using Graph Abstractions and Recurrent Neural Networks -- Scheduling Drillships in Offshore Activities -- Solving a Real-Life Tramp Ship Routing and Scheduling Problem with Speed Profiles -- Optimizing Maritime Preparedness under Uncertainty - Locating Tugboats along the Norwegian Coast -- Supply Chain and Production Management Layout-Agnostic Order Batching Optimization -- Automated Negotiation for Supply Chain Finance -- Production Scheduling with Stock- and Staff-related Restrictions -- Chances of Interpretable Transfer Learning for Human Activity Recognition in Warehousing -- A Multi-Periodic Modelling Approach for Integrated Warehouse Design and Product Allocation -- New Valid Inequalities for a Multi-echelon Multi-item Lot-sizing Problem with Returns and Lost Sales -- Interactive Multiobjective Optimization in Lot Sizing with Safety Stock and Safety Lead Time -- The Craft Beer Game and the Value of Information Sharing -- Smarter Relationships? The Present and Future Scope of AI Application in Buyer-Supplier Relationships -- The Effect of Order Batching on a Cyclical Order Picking System -- Bi-Objective Optimization for Joint Production Scheduling and Distribution Problem with Sustainability -- On the Effect of Product Demand Correlation on the Storage Space Allocation Problem in a Fast-Pick Area of a Warehouse -- Urban Transport and Collaborative Logistics Real-Time Dispatching with Local Search Improvement for Dynamic Ride-Sharing -- A Learning and Optimization Framework for Collaborative Urban Delivery Problems with Alliances -- Analysis of Schedules for Rural First and Last Mile Microtransit Services -- The Share-A-Ride Problem with Integrated Routing and Design Decisions: The Case of Mixed-Purpose Shared Autonomous Vehicles -- Algorithms for the Design of Round-trip Carsharing Systems with a Heterogeneous Fleet -- Exact Separation Algorithms for the Parallel Drone Scheduling Traveling Salesman Problem -- A Multi-Start VNS Algorithm for the TSP-D with Energy Constraints -- Formal Methods to Verify and Ensure Self-Coordination Abilities in the Internet of Vehicles -- Routing, Dispatching, and Scheduling Equipment Dispatching Problem for Underground Mine Under Stochastic Working Times -- Bhar Layeb Vertical Stability Constraints in Combined Vehicle Routing and 3D Container Loading Problems -- Automated Tour Planning for Driving Service of Children with Disabilities: A Web-Based Platform and a Case Study -- A Multi-objective Biased Random-Key Genetic Algorithm for Service Technician Routing and Scheduling Problem -- Optimization of Green Pickup and Delivery Operations in Multi-Depot Distribution Problems -- Solving the Shipment Rerouting Problem with Quantum Optimization Techniques -- Improving the Location of Roadside Assistance Resources through Incident Forecasting -- Solving a Multi-Objective Vehicle Routing Problem with Synchronization Constraint -- Air Logistics and Multi-modal Transport Analysis of the Impact of Physical Internet on the Container Loading Problem -- Applying Constraint Programming to the Multi-Mode Scheduling Problem in Harvest Logistics -- Tackling Uncertainty in Online Multimodal Transportation Planning using Deep Reinforcement Learning. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 12th International Conference on Computational Logistics, ICCL 2021, held in September 2021. Due to COVID-19 pandemic the conference was held virtually. The 42 full papers were carefully reviewed and selected from 111 submissions. They detail the interface of complex logistics systems and advanced computational methods from the fields of operations research, business analytics, and artificial intelligence. The papers are organized in topical sections named maritime and port logistics; supply chain and production management; urban transport and collaborative logistics; routing, dispatching, and scheduling; air logistics and multi-modal transport. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : 16th International Conference, WINE 2020, Beijing, China, December 7–11, 2020, Proceedings Tipo de documento: documento electrónico Autores: Chen, Xujin, ; Gravin, Nikolai, ; Hoefer, Martin, ; Mehta, Ruta, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XIV, 476 p. 39 ilustraciones, 16 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-64946-3 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: Algoritmos Comercio electrónico Red de computadoras Computadoras Propósitos especiales Estructuras de datos (Informática) TeorÃa de la información IngenierÃa Informática Diseño y Análisis de Algoritmos comercio electrónico y negocios electrónicos Redes de comunicación informática Sistemas de propósito especial y basados ​​en aplicaciones Estructuras de datos y teorÃa de la información IngenierÃa Informática y Redes Clasificación: 005.13 Resumen: Este libro constituye las actas de la 16.ª Conferencia Internacional sobre EconomÃa Web y de Internet, WINE 2020, celebrada en Beijing, China, en diciembre de 2020. Los 31 artÃculos completos presentados junto con 11 resúmenes fueron cuidadosamente revisados ​​y seleccionados entre 136 presentaciones. Las cuestiones de la informática teórica, la inteligencia artificial y la investigación operativa son de particular importancia en la Web e Internet, que permiten la interacción de poblaciones grandes y diversas. La Conferencia sobre EconomÃa Web e Internet (WINE) es un foro interdisciplinario para el intercambio de ideas y resultados sobre incentivos y computación que surgen de estos diversos campos. Nota de contenido: Matching -- Markets -- Mechanism Design and Pricing -- Routing, Scheduling, Load Balancing -- Fairness -- Learning. Tipo de medio : Computadora Summary : This book constitutes the proceedings of the 16th International Conference on Web and Internet Economics, WINE 2020, held in Beijing, China, in December 2020. The 31 full papers presented together with 11 abstracts were carefully reviewed and selected from 136 submissions. The issues in theoretical computer science, artificial intelligence, operations research are of particular importance in the Web and the Internet that enable the interaction of large and diverse populations. The Conference on Web and Internet Economics (WINE) is an interdisciplinary forum for the exchange of ideas and results on incentives and computation arising from these various fields. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 16th International Conference, WINE 2020, Beijing, China, December 7–11, 2020, Proceedings [documento electrónico] / Chen, Xujin, ; Gravin, Nikolai, ; Hoefer, Martin, ; Mehta, Ruta, . - 1 ed. . - [s.l.] : Springer, 2020 . - XIV, 476 p. 39 ilustraciones, 16 ilustraciones en color.
ISBN : 978-3-030-64946-3
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: Algoritmos Comercio electrónico Red de computadoras Computadoras Propósitos especiales Estructuras de datos (Informática) TeorÃa de la información IngenierÃa Informática Diseño y Análisis de Algoritmos comercio electrónico y negocios electrónicos Redes de comunicación informática Sistemas de propósito especial y basados ​​en aplicaciones Estructuras de datos y teorÃa de la información IngenierÃa Informática y Redes Clasificación: 005.13 Resumen: Este libro constituye las actas de la 16.ª Conferencia Internacional sobre EconomÃa Web y de Internet, WINE 2020, celebrada en Beijing, China, en diciembre de 2020. Los 31 artÃculos completos presentados junto con 11 resúmenes fueron cuidadosamente revisados ​​y seleccionados entre 136 presentaciones. Las cuestiones de la informática teórica, la inteligencia artificial y la investigación operativa son de particular importancia en la Web e Internet, que permiten la interacción de poblaciones grandes y diversas. La Conferencia sobre EconomÃa Web e Internet (WINE) es un foro interdisciplinario para el intercambio de ideas y resultados sobre incentivos y computación que surgen de estos diversos campos. Nota de contenido: Matching -- Markets -- Mechanism Design and Pricing -- Routing, Scheduling, Load Balancing -- Fairness -- Learning. Tipo de medio : Computadora Summary : This book constitutes the proceedings of the 16th International Conference on Web and Internet Economics, WINE 2020, held in Beijing, China, in December 2020. The 31 full papers presented together with 11 abstracts were carefully reviewed and selected from 136 submissions. The issues in theoretical computer science, artificial intelligence, operations research are of particular importance in the Web and the Internet that enable the interaction of large and diverse populations. The Conference on Web and Internet Economics (WINE) is an interdisciplinary forum for the exchange of ideas and results on incentives and computation arising from these various fields. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
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