Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods
Improving Nevergrad's Algorithm Selection Wizard NGOpt through Automated Algorithm Configuration
Non-Elitist Selection Can Improve the Performance of Irace
Per-run Algorithm Selection with Warm-starting using Trajectory-based Features
Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature
A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization
Adaptive Function Value Warping for Surrogate Model Assisted Evolutionary Optimization
Finding Knees in Bayesian Multi-Objective Optimization
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis
Single Interaction Multi-Objective Bayesian Optimization
Surrogate-assisted LSHADE algorithm utilizing Recursive Least Squares filter
Towards Efficient Multiobjective Hyperparameter Optimization: A Multiobjective Multi-Fidelity Bayesian Optimization and Hyperband Algorithm
A Continuous Optimisation Benchmark Suite from Neural Network Regression
BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization Problems
Evolutionary Approaches to Improving the Layouts of Instance-Spaces
A novelty-search approach to filling an instance-space with diverse and discriminatory instances for the knapsack problem
Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem
Computing High-Quality Solutions for the Patient Admission Scheduling Problem using Evolutionary Diversity Optimisation
Cooperative Multi-Agent Search on Endogenously-Changing Fitness Landscapes
Evolutionary Algorithm for Vehicle Routing with Diversity Oscillation Mechanism
Evolutionary Algorithms for Limiting the Effect of Uncertainty for the Knapsack Problem with Stochastic Profits
Self-adaptation via Multi-objectivisation: An Empirical Study
The Combined Critical Node and Edge Detection Problem. An Evolutionary Approach
Attention-Based Genetic Algorithm for Adversarial Attack in Natural Language Processing
Deep Reinforcement Learning with Two-Stage Training Strategy for Practical Electric Vehicle Routing Problem with Time Windows
Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders
Generalization and Computation for Policy Classes of Generative Adversarial Imitation Learning
Generative Models over Neural Controllers for Transfer Learning
HVC-Net: Deep Learning based Hypervolume Contribution Approximation
Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution
Revisiting Attention-based Graph Neural Networks for Graph Classification
Robust Neural Network Pruning by Cooperative Coevolution
SemiGraphFL: Semi-Supervised Graph Federated Learning
Evolutionary Design of Reduced Precision Preprocessor for Levodopa-Induced Dyskinesia Classifier
In-Materio Extreme Learning Machines
On the impact of the duration of evaluation episodes on the evolution of adaptive robots
Analysing the Fitness Landscape Rotation for Combinatorial Optimisation
Analysis of Search Landscape Samplers for Solver Performance Prediction on a University Timetabling Problem
Fractal Dimension and Perturbation Strength: A Local Optima Networks View
HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis
Increasing the Diversity of Benchmark Function Sets through Affine Recombination
Neural Architecture Search: A Visual Analysis. - Digging into Semantics: Where do search-based software repair methods search?
Gene-pool Optimal Mixing in Cartesian Genetic Programming
Genetic programming for combining directional changes indicators in international stock markets
Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling
Towards Discrete Phenotypic Recombination in Cartesian Genetic Programming
A general architecture for generating interactive decomposition-based MOEAs
An Exact Inverted Generational Distance for Continuous Pareto Front
Direction Vector Selection for R2-based Hypervolume Contribution Approximation
Do We Really Need to Use Constraint Violation in Constrained Evolutionary Multi-Objective Optimization?
Dynamic Multi-modal Multi-objective Optimization: A Preliminary Study
Fair Feature Selection with a Lexicographic Multi-Objective Genetic Algorithm
Greedy Decremental Quick Hypervolume Subset Selection Algorithms
Hybridizing Hypervolume-based Evolutionary Algorithms and Gradient Descent by Dynamic Resource Allocation
Identifying Stochastically Non-dominated Solutions Using Evolutionary Computation
Large-scale multi-objective influence maximisation with network downscaling
Multi-Objective Evolutionary Algorithm Based on the Linear Assignment Problem and the Hypervolume Approximation using Polar Coordinates (MOEA-LAPCO)
New Solution Creation Operator in MOEA/D for Faster Convergence
Obtaining Smoothly Navigable Approximation Sets in Bi-Objective Multi-Modal Optimization
T-DominO: Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective
Recombination Weight based Selection in the DTS-CMA-ES
The (1+1)-ES Reliably Overcomes Saddle Points
Collective Learning of Low-Memory Matrix Adaptation for Large-Scale Black-Box Optimization
Evolutionary Time-Use Optimization for Improving Children's Health Outcomes
Iterated Local Search for the eBuses Charging Location Problem
Multi-view clustering of heterogeneous health data: Application to systemic sclerosis
Specification-Driven Evolution of Floor Plan Design
Surrogate-assisted Multi-objective Optimization for Compiler Optimization Sequence Selection
A First Runtime Analysis of the NSGA-II on a Multimodal Problem
Analysis of Quality Diversity Algorithms for the Knapsack Problem
Better Running Time of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) by Using Stochastic Tournament Selection
Escaping Local Optima With Local Search: A Theory-Driven Discussion
Evolutionary Algorithms for Cardinality-Constrained Ising Models
General Univariate Estimation-of-Distribution Algorithms
Population Diversity Leads to Short Running Times of Lexicase Selection
Progress Rate Analysis of Evolution Strategies on the Rastrigin Function: First Results
Running Time Analysis of the (1+1)-EA using Surrogate Models on OneMax and LeadingOnes
Runtime Analysis of Simple Evolutionary Algorithms for the Chance-constrained Makespan Scheduling Problem
Runtime Analysis of the (1+1) EA on Weighted Sums of Transformed Linear Functions
Runtime Analysis of Unbalanced Block-Parallel Evolutionary Algorithms
Self-adjusting Population Sizes for the EA on Monotone Functions
Theoretical Study of Optimizing Rugged Landscapes with the cGA
Towards Fixed-Target Black-Box Complexity Analysis
Two-Dimensional Drift Analysis: Optimizing Two Functions Simultaneously Can Be Hard.