
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features
Ana Kostovska, Anja Jankovič, Diederick Vermetten, et al.
Lecture notes in computer science (2022), pp. 46-60
Open Access | Times Cited: 29
Ana Kostovska, Anja Jankovič, Diederick Vermetten, et al.
Lecture notes in computer science (2022), pp. 46-60
Open Access | Times Cited: 29
Showing 1-25 of 29 citing articles:
Evolutionary Algorithms for Parameter Optimization—Thirty Years Later
Thomas Bäck, Anna V. Kononova, Bas van Stein, et al.
Evolutionary Computation (2023) Vol. 31, Iss. 2, pp. 81-122
Open Access | Times Cited: 35
Thomas Bäck, Anna V. Kononova, Bas van Stein, et al.
Evolutionary Computation (2023) Vol. 31, Iss. 2, pp. 81-122
Open Access | Times Cited: 35
Analyzing variational quantum landscapes with information content
Adrián Pérez-Salinas, Hao Wang, Xavier Bonet-Monroig
npj Quantum Information (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 7
Adrián Pérez-Salinas, Hao Wang, Xavier Bonet-Monroig
npj Quantum Information (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 7
Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection
Moritz Vinzent Seiler, Urban Škvorc, Carola Doerr, et al.
Lecture notes in computer science (2025), pp. 361-376
Closed Access
Moritz Vinzent Seiler, Urban Škvorc, Carola Doerr, et al.
Lecture notes in computer science (2025), pp. 361-376
Closed Access
MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using IOHprofiler
Diederick Vermetten, Jeroen Rook, Oliver Ludger Preuß, et al.
Lecture notes in computer science (2025), pp. 242-256
Closed Access
Diederick Vermetten, Jeroen Rook, Oliver Ludger Preuß, et al.
Lecture notes in computer science (2025), pp. 242-256
Closed Access
MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine Combinations and Shifts
Diederick Vermetten, Furong Ye, Thomas Bäck, et al.
ACM Transactions on Evolutionary Learning and Optimization (2024) Vol. 5, Iss. 1, pp. 1-19
Open Access | Times Cited: 4
Diederick Vermetten, Furong Ye, Thomas Bäck, et al.
ACM Transactions on Evolutionary Learning and Optimization (2024) Vol. 5, Iss. 1, pp. 1-19
Open Access | Times Cited: 4
On the Utility of Probing Trajectories for Algorithm-Selection
Quentin Renau, Emma Hart
Lecture notes in computer science (2024), pp. 98-114
Closed Access | Times Cited: 2
Quentin Renau, Emma Hart
Lecture notes in computer science (2024), pp. 98-114
Closed Access | Times Cited: 2
IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics
Jacob de Nobel, Furong Ye, Diederick Vermetten, et al.
Evolutionary Computation (2023) Vol. 32, Iss. 3, pp. 205-210
Open Access | Times Cited: 6
Jacob de Nobel, Furong Ye, Diederick Vermetten, et al.
Evolutionary Computation (2023) Vol. 32, Iss. 3, pp. 205-210
Open Access | Times Cited: 6
Exploratory Landscape Analysis
Pascal Kerschke, Mike Preuß
(2023), pp. 990-1007
Closed Access | Times Cited: 6
Pascal Kerschke, Mike Preuß
(2023), pp. 990-1007
Closed Access | Times Cited: 6
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems
Gjorgjina Cenikj, Gašper Petelin, Carola Doerr, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 813-821
Open Access | Times Cited: 5
Gjorgjina Cenikj, Gašper Petelin, Carola Doerr, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 813-821
Open Access | Times Cited: 5
TinyTLA: Topological landscape analysis for optimization problem classification in a limited sample setting
Gašper Petelin, Gjorgjina Cenikj, Tome Eftimov
Swarm and Evolutionary Computation (2023) Vol. 84, pp. 101448-101448
Open Access | Times Cited: 5
Gašper Petelin, Gjorgjina Cenikj, Tome Eftimov
Swarm and Evolutionary Computation (2023) Vol. 84, pp. 101448-101448
Open Access | Times Cited: 5
Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation
Cedric J. Rodriguez, Sarah L. Thomson, Tanja Alderliesten, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 23-31
Open Access | Times Cited: 1
Cedric J. Rodriguez, Sarah L. Thomson, Tanja Alderliesten, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 23-31
Open Access | Times Cited: 1
Improving Algorithm-Selectors and Performance-Predictors via Learning Discriminating Training Samples
Quentin Renau, Emma Hart
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 1026-1035
Closed Access | Times Cited: 1
Quentin Renau, Emma Hart
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 1026-1035
Closed Access | Times Cited: 1
RF+clust for Leave-One-Problem-Out Performance Prediction
Ana Nikolikj, Carola Doerr, Tome Eftimov
Lecture notes in computer science (2023), pp. 285-301
Open Access | Times Cited: 3
Ana Nikolikj, Carola Doerr, Tome Eftimov
Lecture notes in computer science (2023), pp. 285-301
Open Access | Times Cited: 3
To Switch or Not to Switch: Predicting the Benefit of Switching Between Algorithms Based on Trajectory Features
Diederick Vermetten, Hao Wang, Kevin Sim, et al.
Lecture notes in computer science (2023), pp. 335-350
Open Access | Times Cited: 3
Diederick Vermetten, Hao Wang, Kevin Sim, et al.
Lecture notes in computer science (2023), pp. 335-350
Open Access | Times Cited: 3
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems
Ana Kostovska, Anja Jankovič, Diederick Vermetten, et al.
(2023), pp. 495-498
Open Access | Times Cited: 3
Ana Kostovska, Anja Jankovič, Diederick Vermetten, et al.
(2023), pp. 495-498
Open Access | Times Cited: 3
Explainable Model-specific Algorithm Selection for Multi-Label Classification
Ana Kostovska, Carola Doerr, Sašo Džeroski, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2022)
Open Access | Times Cited: 4
Ana Kostovska, Carola Doerr, Sašo Džeroski, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2022)
Open Access | Times Cited: 4
Choosing the Right Tool for the Job: Online Decision Making over SLAM Algorithms
Samer B. Nashed, Roderic A. Grupen, Shlomo Zilberstein
(2024), pp. 4619-4625
Closed Access
Samer B. Nashed, Roderic A. Grupen, Shlomo Zilberstein
(2024), pp. 4619-4625
Closed Access
Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection
Quentin Renau, Emma Hart
Lecture notes in computer science (2024), pp. 70-86
Closed Access
Quentin Renau, Emma Hart
Lecture notes in computer science (2024), pp. 70-86
Closed Access
Per-Run Algorithm Performance Improvement Forecasting Using Exploratory Landscape Analysis Features: A Case Study in Single-Objective Black-Box Optimization
Peter Korošec, Tome Eftimov
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024) Vol. 1, pp. 571-574
Closed Access
Peter Korošec, Tome Eftimov
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024) Vol. 1, pp. 571-574
Closed Access
Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization
Konstantin Dietrich, Diederick Vermetten, Carola Doerr, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 1007-1016
Open Access
Konstantin Dietrich, Diederick Vermetten, Carola Doerr, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 1007-1016
Open Access
Generalization Ability of Feature-Based Performance Prediction Models: A Statistical Analysis Across Benchmarks
Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Open Access
Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Open Access
Hybridizing Target- and SHAP-Encoded Features for Algorithm Selection in Mixed-Variable Black-Box Optimization
Konstantin Dietrich, Raphael Patrick Prager, Carola Doerr, et al.
Lecture notes in computer science (2024), pp. 154-169
Closed Access
Konstantin Dietrich, Raphael Patrick Prager, Carola Doerr, et al.
Lecture notes in computer science (2024), pp. 154-169
Closed Access
Learned Features vs. Classical ELA on Affine BBOB Functions
Moritz Vinzent Seiler, Urban Škvorc, Gjorgjina Cenikj, et al.
Lecture notes in computer science (2024), pp. 137-153
Closed Access
Moritz Vinzent Seiler, Urban Škvorc, Gjorgjina Cenikj, et al.
Lecture notes in computer science (2024), pp. 137-153
Closed Access
Location, Size, and Capacity
Abdul Hanif Abdul Halim, Swagatam Das, Idris Ismail
Emergence, complexity and computation (2024), pp. 1-152
Closed Access
Abdul Hanif Abdul Halim, Swagatam Das, Idris Ismail
Emergence, complexity and computation (2024), pp. 1-152
Closed Access
Using Automated Algorithm Configuration for Parameter Control
Deyao Chen, Maxim Buzdalov, Carola Doerr, et al.
(2023), pp. 38-49
Open Access | Times Cited: 1
Deyao Chen, Maxim Buzdalov, Carola Doerr, et al.
(2023), pp. 38-49
Open Access | Times Cited: 1