Del 12654 i serien Lecture Notes in Computer Science

Evolutionary Multi-Criterion Optimization

11th International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings

Häftad, Engelska, 2021

AvHisao Ishibuchi,Qingfu Zhang,Ran Cheng,Ke Li,Hui Li,Handing Wang,Aimin Zhou

1 479 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

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.

Produktinformation

Utgivningsdatum2021-03-24
Mått155 x 235 x 43 mm
Vikt1 188 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor781
FörlagSpringer Nature Switzerland AG
ISBN9783030720612

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT

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.

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Del 12654 i serien Lecture Notes in Computer Science

Evolutionary Multi-Criterion Optimization

11th International Conference, EMO 2021, Shenzhen, China, March 28–31, 2021, Proceedings

Häftad, Engelska, 2021

AvHisao Ishibuchi,Qingfu Zhang,Ran Cheng,Ke Li,Hui Li,Handing Wang,Aimin Zhou

1 479 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Produktinformation

Utgivningsdatum2021-03-24
Mått155 x 235 x 43 mm
Vikt1 188 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor781
FörlagSpringer Nature Switzerland AG
ISBN9783030720612

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT

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.