Evolutionary Multi-Criterion Optimization
Springer International Publishing (Verlag)
978-3-030-72061-2 (ISBN)
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-Ba
| Erscheinungsdatum | 08.04.2021 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science | Theoretical Computer Science and General Issues |
| Zusatzinfo | XVI, 781 p. 235 illus., 193 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1205 g |
| Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Applications • Artificial Intelligence • Computer Science • conference proceedings • Correlation Analysis • evolutionary algorithms • Evolutionary Multiobjective Optimization • Genetic algorithms • Informatics • machine learning • Multi-Objective Evolutionary Algorithms • Multi-Objective Optimization • multi-objective optimization problem • NSGA-II • Optimal Solutions • Optimization Problems • pareto front • Pareto principle • Research |
| ISBN-10 | 3-030-72061-6 / 3030720616 |
| ISBN-13 | 978-3-030-72061-2 / 9783030720612 |
| Zustand | Neuware |
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