Image de couverture de livre

Using the Empirical Attainment Function for Analyzing Single-objective Black-box Optimization Algorithms

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	López-Ibáñez, Manuel, Vermetten, Diederick, Dreo, Johann, Doerr, Carola
Format:	Preprint
Publié:	2024
Sujets:	Optimization and Control Neural and Evolutionary Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Similarity-based Portfolio Construction for Black-box Optimization
par: Dinu, Catalin-Viorel, et autres
Publié: (2026)

Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization
par: Dietrich, Konstantin, et autres
Publié: (2024)

How Sequential Algorithm Portfolios can benefit Black Box Optimization
par: Dinu, Catalin-Viorel, et autres
Publié: (2026)

Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler
par: Vermetten, Diederick, et autres
Publié: (2024)

Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks
par: Nikolikj, Ana, et autres
Publié: (2024)

Large-scale Benchmarking of Metaphor-based Optimization Heuristics
par: Vermetten, Diederick, et autres
Publié: (2024)

Exploration of Pareto-preserving Search Space Transformations in Multi-objective Test Functions
par: Vermetten, Diederick, et autres
Publié: (2026)

MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOHprofiler
par: Vermetten, Diederick, et autres
Publié: (2024)

EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
par: Bliek, Laurens, et autres
Publié: (2021)

On the Influence of the Feature Computation Budget on Per-Instance Algorithm Selection for Black-Box Optimization
par: van der Blom, Koen, et autres
Publié: (2026)

A Standardized Benchmark Set of Clustering Problem Instances for Comparing Black-Box Optimizers
par: Vermetten, Diederick, et autres
Publié: (2025)

Marginal Probability-Based Integer Handling for CMA-ES Tackling Single-and Multi-Objective Mixed-Integer Black-Box Optimization
par: Hamano, Ryoki, et autres
Publié: (2022)

Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization
par: Dietrich, Konstantin, et autres
Publié: (2024)

Optimal Restart Strategies for Parameter-dependent Optimization Algorithms
par: Schönenberger, Lisa, et autres
Publié: (2025)

S-LCG: Structured Linear Congruential Generator-Based Deterministic Algorithm for Search and Optimization
par: Mohammed, Ahmed Qasim, et autres
Publié: (2026)

Optimization of Complex Process, Based on Design Of Experiments, a Generic Methodology
par: Baderot, Julien, et autres
Publié: (2024)

Blindfolded Spider-man Optimization: A Single-Point Metaheuristics Suitable for Continuous and Discrete Spaces
par: Mittal, Satyam
Publié: (2025)

Modified CMA-ES Algorithm for Multi-Modal Optimization: Incorporating Niching Strategies and Dynamic Adaptation Mechanism
par: Karunarathne, Wathsala, et autres
Publié: (2024)

A Distance Similarity-based Genetic Optimization Algorithm for Satellite Ground Network Planning Considering Feeding Mode
par: Ren, Yingying, et autres
Publié: (2024)

Genetic Algorithm Based Combinatorial Optimization for the Optimal Design of Water Distribution Network of Gurudeniya Service Zone, Sri Lanka
par: Senavirathna, K. H. M. R. N., et autres
Publié: (2023)

Wave Function Collapse Set Covering and the Hill Climbing Algorithm: A New, Fast Heuristic and Metaheuristic Pairing for the Minimum Set Cover Problem
par: Oprea, David, et autres
Publié: (2025)

An Improved Dung Beetle Optimizer for Random Forest Optimization
par: Tan, Lianghao, et autres
Publié: (2024)

A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions
par: Tschernutter, Daniel, et autres
Publié: (2024)

Orthogonally Initiated Particle Swarm Optimization with Advanced Mutation for Real-Parameter Optimization
par: Bala, Indu, et autres
Publié: (2024)

Future Trends in the Design of Memetic Algorithms: the Case of the Linear Ordering Problem
par: Lugo, Lázaro, et autres
Publié: (2024)

Feature-based Evolutionary Diversity Optimization of Discriminating Instances for Chance-constrained Optimization Problems
par: Ahouei, Saba Sadeghi, et autres
Publié: (2025)

Arc Routing Problems with Multiple Trucks and Drones: A Hybrid Genetic Algorithm
par: Sobhanan, Abhay, et autres
Publié: (2025)

Underdamped Particle Swarm Optimization
par: Rodríguez, Matías Ezequiel Hernández
Publié: (2025)

Empirical Evaluation of No Free Lunch Violations in Permutation-Based Optimization
par: Sroka, Grzegorz
Publié: (2026)

Robust Differential Evolution via Nonlinear Population Size Reduction and Adaptive Restart: The ARRDE Algorithm
par: Muzakka, Khoirul Faiq, et autres
Publié: (2025)

Modified FOX Optimizer for Solving optimization problems
par: Hasan, Dler O., et autres
Publié: (2025)

A Knowledge-driven Memetic Algorithm for the Energy-efficient Distributed Homogeneous Flow Shop Scheduling Problem
par: Xu, Yunbao, et autres
Publié: (2024)

PSO and the Traveling Salesman Problem: An Intelligent Optimization Approach
par: Araújo, Kael Silva, et autres
Publié: (2025)

Explicitly Multi-Modal Benchmarks for Multi-Objective Optimization
par: Ota, Ryosuke, et autres
Publié: (2021)

An Efficient Dynamic Resource Allocation Framework for Evolutionary Bilevel Optimization
par: Xu, Dejun, et autres
Publié: (2024)

CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points
par: Uchida, Kento, et autres
Publié: (2024)

Lyapunov Stability of Stochastic Vector Optimization: Theory and Numerical Implementation
par: Santos, Thiago, et autres
Publié: (2026)

Biomimicry in Radiation Therapy: Optimizing Patient Scheduling for Improved Treatment Outcomes
par: K., Keshav Kumar, et autres
Publié: (2024)

An Adaptive KKT-Based Indicator for Convergence Assessment in Multi-Objective Optimization
par: Santos, Thiago, et autres
Publié: (2026)

Annealed Mean Field Descent Is Highly Effective for Quadratic Unconstrained Binary Optimization
par: Kuroki, Kyo, et autres
Publié: (2025)