El. knyga: Evolutionary Multi-Criterion Optimization: 12th International Conference, EMO 2023, Leiden, The Netherlands, March 20-24, 2023, Proceedings

Algorithm Design and Engineering.- Visual Exploration of the Effect of
Constraint Handling in Multiobjective Optimization.- A Two-stage Algorithm
for Integer Multiobjective Simulation Optimization.- RegEMO: Sacrificing
Pareto-Optimality for Regularity in Multi-objective
Problem-Solving.- Cooperative coevolutionary NSGA-II with Linkage Measurement
Minimization for Large-scale Multi-objective Optimization.- Data-Driven
Evolutionary Multi-Objective Optimization Based on Multiple-Gradient Descent
for Disconnected Pareto Fronts.- Eliminating Non-dominated Sorting from
NSGA-III.- Scalability of Multi-Objective Evolutionary Algorithms for Solving
Real-World Complex Optimization Problems.- Machine Learning and
Multi-criterion Optimization.- Multi-Objective Learning using HV
Maximization.- Sparse Adversarial Attack via Bi-Objective
Optimization.- Investigating Innovized Progress Operators with Different
Machine Learning Methods.- End-to-End Pareto Set Prediction with Graph Neural
Networks for Multi-objective Facility Location.- Online Learning
Hyper-Heuristics in Multi-Objective Evolutionary
Algorithms.- Surrogate-assisted Multi-objective Optimization via Genetic
Programming based Symbolic Regression.- Learning to Predict Pareto-optimal
Solutions From Pseudo-weights.- A Relation Surrogate Model for Expensive
Multiobjective Continuous and Combinatorial Optimization.- Pareto Front
Upconvert by Iterative Estimation Modeling and Solution Sampling.- Pareto
Front Upconvert by Iterative Estimation Modeling and Solution
Sampling.- Approximation of a Pareto Set Segment Using a Linear Model with
Sharing Variables.- Feature-based Benchmarking of Distance-based
Multi/Many-objective Optimisation Problems: A Machine Learning
Perspective.- Benchmarking and Performance Assessment.- Partially Degenerate
Multi-Objective Test Problems.- Peak-A-Boo! GeneratingMulti-Objective
Multiple Peaks Benchmark Problems with Precise Pareto Sets.- MACO: A
Real-world inspired Benchmark for Multi-objective Evolutionary Algorithms.- A
scalable test suite for bi-objective multidisciplinary
optimisation.- Performance Evaluation of Multi-Objective Evolutionary
Algorithms using Artificial and Real-World Problems.- A Novel Performance
Indicator based on the Linear Assignment Problem.- A Test Suite for
Multi-objective Multi-fidelity Optimization.- Indicator Design and Complexity
Analysis.- Diversity enhancement via magnitude.- Two-Stage Greedy
Approximated Hypervolume Subset Selection for Large-Scale
Problems.- Two-Stage Greedy Approximated Hypervolume Subset Selection for
Large-Scale Problems.- On the Computational Complexity of Efficient
Non-Dominated Sort using Binary Search.- Applications in Real World
Domains.- Evolutionary Algorithms with Machine Learning Models for
Multiobjective Optimization in Epidemics Control.- Joint Price Optimization
across a Portfolio of Fashion E-commerce Products.- Improving MOEA/D with
Knowledge Discovery. Application to a Bi-Objective Routing Problem.- The
Prism-Net Search Space Representation for Multi-Objective Building Spatial
Design.- Selection Strategies for a Balanced Multi- or Many-Objective
Molecular Optimization and Genetic Diversity: a Comparative Study.- A
Multi-objective Evolutionary Framework for Identifying Dengue Stage-Specific
Differentially Co-expressed and Functionally Enriched Gene Modules.- A
Multi-objective Evolutionary Framework for Identifying Dengue Stage-Specific
Differentially Co-expressed and Functionally Enriched Gene Modules.
-Multiobjective Optimization of Evolutionary Neural Networks for Animal Trade
Movements Prediction.- Transfer of Multi-Objectively Tuned CMA-ES Parameters
to a Vehicle Dynamics Problem.- Multi-Criteria Decision Making and
Interactive Algorithms.- Preference-Based Nonlinear Normalization for
Multiobjective Optimization.- Incorporating preference information
interactively in NSGA-III by the adaptation of reference vectors.- A
Systematic Way of Structuring Real-World Multiobjective Optimization
Problems.- IK-EMOViz: An Interactive Knowledge-based Evolutionary
Multi-objective Optimization Framework.- An Interactive Decision Tree-Based
Evolutionary Multi-Objective Algorithm.