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 Frechet 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.