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Evolutionary Multi-Criterion Optimization: 11th International Conference, EMO 2021, Shenzhen, China, March 2831, 2021, Proceedings 1st ed. 2021 [Pehme köide]

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  • Formaat: Paperback / softback, 781 pages, kõrgus x laius: 235x155 mm, kaal: 1205 g, 193 Illustrations, color; 42 Illustrations, black and white; XVI, 781 p. 235 illus., 193 illus. in color., 1 Paperback / softback
  • Sari: Theoretical Computer Science and General Issues 12654
  • Ilmumisaeg: 24-Mar-2021
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030720616
  • ISBN-13: 9783030720612
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  • Formaat: Paperback / softback, 781 pages, kõrgus x laius: 235x155 mm, kaal: 1205 g, 193 Illustrations, color; 42 Illustrations, black and white; XVI, 781 p. 235 illus., 193 illus. in color., 1 Paperback / softback
  • Sari: Theoretical Computer Science and General Issues 12654
  • Ilmumisaeg: 24-Mar-2021
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030720616
  • ISBN-13: 9783030720612
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.

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.