| 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 [...] |
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