Suchergebnisse - automated algorithm configuration

Automated Algorithm Configuration and Systematic Benchmarking for Heterogeneous MNK-Landscapes

Autoren: Oliver Ludger Preuß Carolin Mensendiek Jeroen Rook et al.

Quelle: Proceedings of the Genetic and Evolutionary Computation Conference. :58-66

Selector: Ensemble-Based Automated Algorithm Configuration

Autoren: Weiß, Dimitri Schede, Elias Arnold Tierney, Kevin

Quelle: Journal of Heuristics. 31

Schlagwörter: SAT, Algorithm configuration, CVRP, Ensemble optimization, TSP, MAX-SAT, MILP

Zugangs-URL: https://pub.uni-bielefeld.de/record/3005899
https://doi.org/10.1007/s10732-025-09561-6

Using Automated Algorithm Configuration for Parameter Control

Autoren: Chen, Deyao Buzdalov, Maxim Doerr, Carola et al.

Weitere Verfasser: Chen, Deyao Buzdalov, Maxim Doerr, Carola et al.

Quelle: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. :38-49

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, algorithm configuration, parameter control, Computer Science - Neural and Evolutionary Computing, 0102 computer and information sciences, 02 engineering and technology, [INFO] Computer Science [cs], 01 natural sciences, genetic algorithms, Machine Learning (cs.LG), evolutionary computation, 0202 electrical engineering, electronic engineering, information engineering, benchmarking, Neural and Evolutionary Computing (cs.NE)

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2302.12334
https://hal.sorbonne-universite.fr/hal-04180594v1/document
https://doi.org/10.1145/3594805.3607127
https://hal.sorbonne-universite.fr/hal-04180594v1

On the potential of automated algorithm configuration on multi-modal multi-objective optimization problems

Autoren: Jeroen Rook Heike Trautmann Jakob Bossek et al.

Quelle: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :356-359

Schlagwörter: Multi-objective optimization, 2024 OA procedure, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Multi-modality, Configuration

A Survey of Methods for Automated Algorithm Configuration (Extended Abstract)

Autoren: Elias Schede Jasmin Brandt Alexander Tornede et al.

Quelle: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. :6964-6968

Landscape-Aware Automated Algorithm Configuration Using Multi-output Mixed Regression and Classification

Autoren: Fu Xing Long Moritz Frenzel Peter Krause et al.

Quelle: Lecture Notes in Computer Science ISBN: 9783031700675

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2409.01446

Automated Dynamic Algorithm Configuration

Autoren: Adriansen, Steven Biedenkapp, André Shala, Gresa et al.

Quelle: Journal of Artificial Intelligence Research. 75:1633-1699

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2205.13881

A Survey of Methods for Automated Algorithm Configuration

Autoren: Schede, Elias Arnold Brandt, Jasmin Tornede, Alexander et al.

Quelle: Journal of Artificial Intelligence Research. 75:425-487

Schlagwörter: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, I.2.6, 0202 electrical engineering, electronic engineering, information engineering, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences

Zugangs-URL: http://arxiv.org/abs/2202.01651
https://pub.uni-bielefeld.de/record/2966729
https://epub.ub.uni-muenchen.de/94661/

A method for the automated configuration of anytime portfolios of algorithms.

Autoren: Schede, Elias Tierney, Kevin

Quelle: European Journal of Operational Research. Mar2026, Vol. 329 Issue 2, p577-590. 14p.

Schlagwörter: *ALGORITHMS, *MATHEMATICAL optimization, *CONFIGURATION management, PARAMETERIZATION, MIXED integer linear programming

Landscape-Aware Automated Algorithm Configuration using Multi-output Mixed Regression and Classification

Autoren: Long, Fu Xing Frenzel, Moritz Krause, Peter et al.

Index Begriffe: Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, text

URL: http://arxiv.org/abs/2409.01446

On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems

Autoren: Oliver Ludger Preuß Jeroen Rook Heike Trautmann

Quelle: Lecture Notes in Computer Science ISBN: 9783031568510

Improving Nevergrad’s Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration

Autoren: Risto Trajanov Ana Nikolikj Gjorgjina Cenikj et al.

Weitere Verfasser: Risto Trajanov Ana Nikolikj Gjorgjina Cenikj et al.

Quelle: Lecture Notes in Computer Science ISBN: 9783031147135
Trajanov, R, Nikolikj, A, Cenikj, G, Teytaud, F, Videau, M, Teytaud, O, Eftimov, T, López-Ibáñez, M & Doerr, C 2022, Improving Nevergrad’s Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration. in G Rudolph, A V Kononova, H Aguirre, P Kerschke, G Ochoa & T Tušar (eds), PPSN 2022: Parallel Problem Solving from Nature – PPSN XVII : 17th International Conference, PPSN 2022, Dortmund, Germany, September 10–14, 2022, Proceedings, Part I. vol. PPSN 2022, Lecture Notes in Computer Science, vol. 13398, Springer Nature, Cham, Switzerland, pp. 18-31. https://doi.org/10.1007/978-3-031-14714-2_2

Schlagwörter: FOS: Computer and information sciences, Black-box Optimization, algorithm configuration, Algorithm Selection, [INFO.INFO-NE] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], 0211 other engineering and technologies, Computer Science - Neural and Evolutionary Computing, Evolutionary computation, 02 engineering and technology, Algorithm selection, Black-box optimization, 0202 electrical engineering, electronic engineering, information engineering, Algorithm Configuration, Neural and Evolutionary Computing (cs.NE), Evolutionary Computation

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2209.04412
https://hal.sorbonne-universite.fr/hal-03740762v1
https://doi.org/10.1007/978-3-031-14714-2_2
https://hal.sorbonne-universite.fr/hal-03740762v1/document

Multi-objective approaches for automated algorithm configuration and selection

Autoren: Jeroen George Rook

Automated algorithm configuration and design

Autoren: Leslie Pérez Cáceres Manuel López-Ibáñez Thomas Stützle

Quelle: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :997-1019

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Extending the 'Open-Closed Principle' to Automated Algorithm Configuration

Autoren: Swan, Jerry Adriænsen, Stephen Barwell, Adam David et al.

Weitere Verfasser: Swan, Jerry Adriænsen, Stephen Barwell, Adam David et al.

Quelle: Evolutionary Computation. 27:173-193

Schlagwörter: QA75, Time Factors, QA75 Electronic computers. Computer science, T-NDAS, Search based software engineering, Metaheuristics, 02 engineering and technology, QA76, Pattern Recognition, Automated, QA76 Computer software, Automatic programming, 0202 electrical engineering, electronic engineering, information engineering, Heuristics, Humans, Computer Simulation, Ant programming, 4. Education, Models, Theoretical, Programming by optimization, Functional programming, Systems self assembly, Automated design of algorithms, Algorithms, Software

Dateibeschreibung: application/pdf

Zugangs-URL: https://research-repository.st-andrews.ac.uk/bitstream/10023/16809/1/Paper.pdf
https://pubmed.ncbi.nlm.nih.gov/30557042
https://research-repository.st-andrews.ac.uk/bitstream/10023/16809/1/Paper.pdf
https://dblp.uni-trier.de/db/journals/ec/ec27.html#SwanABHW19
https://doi.org/10.1162/evco_a_00245
https://direct.mit.edu/evco/article/27/1/173/1082/Extending-the-Open-Closed-Principle-to-Automated
https://www.ncbi.nlm.nih.gov/pubmed/30557042
https://ieeexplore.ieee.org/document/8660769/
http://eproof.aptaracorp.com/powerproof2/adp.do?aid=7037628478200228772
https://hdl.handle.net/10023/16809

Speeding up neural network verification via automated algorithm configuration

Autoren: König, H.M.T. Hoos, H.H. Rijn, J.N. van

Schlagwörter: Automated algorithm configuration, AI safety, Neural network verification, SMAC, AutoML

Zugangs-URL: https://hdl.handle.net/1887/3277268

How Much Data Is Sufficient to Learn High-Performing Algorithms?: How much data is sufficient to learn high-performing algorithms?

Autoren: Maria-Florina Balcan Dan Deblasio Travis Dick et al.

Quelle: Journal of the ACM. 71:1-58

Schlagwörter: 0301 basic medicine, data-driven algorithm design, 0303 health sciences, 03 medical and health sciences, machine learning, computational biology, General topics in the theory of algorithms, Learning and adaptive systems in artificial intelligence, automated algorithm design, automated algorithm configuration

Dateibeschreibung: application/xml

ACCELERATING AUTOMATED ALGORITHM CONFIGURATION USING HISTORICAL PERFORMANCE DATA

Automated Algorithm Configuration

Autoren: Weiß, Dimitri

Dateibeschreibung: application/pdf

Zugangs-URL: https://pub.uni-bielefeld.de/record/3006393

Automated Algorithm Configuration for Hard Optimization Problems: Ph.D. Thesis

Autoren: Yuan, Zhi

Schlagwörter: algorithm design and engineering, post-selection, metaheuristics, mixed variable optimization, swarm intelligence, statistical racing, automated algorithm configuration, stochastic optimization, Sciences de l'ingénieur, optimization, black-box optimization, heuristic optimization, operations research

Dateibeschreibung: 1 full-text file(s): application/pdf

Zugangs-URL: http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/294872