Výsledky vyhledávání - "algorithm configuration"

Enhancing Parameter Control Policies with State Information

Autoři: Gianluca Covini Denis Antipov Carola Doerr a další

Přispěvatelé: Gianluca Covini Denis Antipov Carola Doerr a další

Zdroj: Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. :37-48

Témata: FOS: Computer and information sciences, evolutionary computation, Parameter control, local search, algorithm configuration, Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), [INFO] Computer Science [cs], black-box optimization

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2507.08368
https://hal.sorbonne-universite.fr/hal-05157741v1/document
https://doi.org/10.1145/3729878.3746633
https://hal.sorbonne-universite.fr/hal-05157741v1

Generalizing the Structure of a University Timetabling Solver for Flexible Automatic Algorithm Configuration

Autoři: Feutrier, Thomas Veerapen, Nadarajen Kessaci, Marie-Eléonore

Přispěvatelé: Feutrier, Thomas Veerapen, Nadarajen Kessaci, Marie-Eléonore

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :555-558

Témata: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Local Search, Automatic Algorithm Configuration, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], Hydrid Metaheuristic, [INFO.INFO-RO] Computer Science [cs]/Operations Research [math.OC], Timetabling

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-05207043v1
https://hal.science/hal-05207043v1/document
https://doi.org/10.1145/3712255.3726683

Selector: Ensemble-Based Automated Algorithm Configuration

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

Zdroj: Journal of Heuristics. 31

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

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

Extending Instance Space Analysis to Algorithm Configuration Spaces

Autoři: Anthony Rasulo Kate Smith-Miles Mario Muñoz a další

Zdroj: Rasulo, A, Smith-Miles, K, Muñoz, M, Handl, J & López-Ibáñez, M 2024, Extending Instance Space Analysis to Algorithm Configuration Spaces. in GECCO’24 Companion : Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, New York, NY, pp. 147-150, 2024 Genetic and Evolutionary Computation Conference Companion, GECCO 2024 Companion, Melbourne, Australia, 14/07/24. https://doi.org/10.1145/3638530.3654264

Témata: explainability, algorithm configuration, instance space analysis

Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization: improving generalization

Autoři: Carolin Benjamins Gjorgjina Cenikj Ana Nikolikj a další

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :563-566

Témata: izbira algoritmov, FOS: Computer and information sciences, reinforcement learning, instance selection, Computer Science - Machine Learning, dynamic algorithm configuration, generalization, Machine Learning (cs.LG)

Popis souboru: text/url; application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2407.13513
https://dirros.openscience.si/IzpisGradiva.php?id=20445
https://doi.org/10.1145/3638530.3654291
https://hdl.handle.net/20.500.12556/DiRROS-20445

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

Autoři: Maria-Florina Balcan Dan Deblasio Travis Dick a další

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

Témata: 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

Popis souboru: application/xml

Online Control of Adaptive Large Neighborhood Search Using Deep Reinforcement Learning

Autoři: REIJNEN, Reijnen ZHANG, Yingqian LAU, Hoong Chuin a další

Zdroj: Proceedings of the International Conference on Automated Planning and Scheduling. 34:475-483

Témata: Deep reinforcement learning, FOS: Computer and information sciences, Computer Science - Machine Learning, Adaptive large neighborhood search, Artificial Intelligence and Robotics, Computer Sciences, Computer Science - Artificial Intelligence, 0211 other engineering and technologies, 02 engineering and technology, 01 natural sciences, Machine Learning (cs.LG), Artificial Intelligence (cs.AI), 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Algorithm configuration

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2211.00759
https://research.tue.nl/en/publications/949d656f-d8c3-4548-8ca7-97d87b599a94
https://doi.org/10.1609/icaps.v34i1.31507

Algorithm Configuration in Sequential Decision-Making

Autoři: Begnardi, Luca von Meijenfeldt, Bart Baier, Hendrik a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783031959721

Témata: reinforcement learning, sequential decision-making, algorithm configuration

Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP

Autoři: Seiler, Moritz Vinzent Rook, Jeroen Heins, Jonathan a další

Zdroj: 2023 IEEE Symposium Series on Computational Intelligence (SSCI). :361-368

Témata: Per-Instance algorithm configuration, 2024 OA procedure, Traveling salesperson problem, Reinforcement learning, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

An Analysis of Evolutionary Migration Models for Multi-Objective, Multi-Fidelity Automl

Autoři: Campero Jurado, Israel Vanschoren, Joaquin

Zdroj: 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC). :2940-2945

Témata: Machine learning, Parallelization, Pareto optimisation, Parameter tuning and algorithm configuration, Genetic programming

Přístupová URL adresa: https://research.tue.nl/en/publications/d9c9c6c6-893b-4e49-b657-fffba6fae13c
https://doi.org/10.1109/SMC53992.2023.10394059

Using Automated Algorithm Configuration for Parameter Control

Autoři: Chen, Deyao Buzdalov, Maxim Doerr, Carola a další

Přispěvatelé: Chen, Deyao Buzdalov, Maxim Doerr, Carola a další

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

Témata: 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)

Popis souboru: application/pdf

Přístupová URL adresa: 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

Estratégias de aprendizagem por reforço para configuração dinâmica de meta-heurísticas

Reinforcement learning strategies for dynamic configuration of metaheuristics

Autoři: Oliveira, Vítor José Henriques Pinto, Tiago Manuel Campelos Ferreira Ramos, Carlos Fernando da Silva a další

Přispěvatelé: Oliveira, Vítor José Henriques Pinto, Tiago Manuel Campelos Ferreira Ramos, Carlos Fernando da Silva a další

Zdroj: urn:tid:203734378

Témata: Algoritmo genético, Aprendizagem máquina, Aprendizagem por reforço, Configuração dinâmica de algoritmos, DAC, Otimização por enxame de partículas, SARSA, Deep-SARSA, Dynamic algorithm configuration, Reinforcement learning, Genetic algorithm, Particle swarm optimization, Machine learning

Popis souboru: application/pdf

Dostupnost: http://hdl.handle.net/10400.22/26902

Multi-parameter control for the (1+(λ,λ))-GA on OneMax via deep reinforcement learning

Autoři: Nguyen, Tai Le, Phong Doerr, Carola a další

Zdroj: Nguyen , T , Le , P , Doerr , C & Dang , N 2025 , Multi-parameter control for the (1+(λ,λ))-GA on OneMax via deep reinforcement learning . in Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms . ACM , Conference on Foundations of Genetic Algorithms , Leiden , Netherlands , 27/08/25 . https://doi.org/10.1145/3729878.3746703

Témata: Deep reinforcement learning, Dynamic algorithm configuration, Optimisation

Dostupnost: https://research-portal.st-andrews.ac.uk/en/publications/f6c918e8-0d5a-45b5-ab32-78022b6d065a
https://doi.org/10.1145/3729878.3746703
https://dl.acm.org/conference/foga
https://arxiv.org/abs/2505.12982

Realtime gray-box algorithm configuration using cost-sensitive classification

Autoři: Weiß, Dimitri Tierney, Kevin

Zdroj: Annals of Mathematics and Artificial Intelligence. 93:109-130

Témata: Cost-sensitive learning, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, SAT, 02 engineering and technology, Algorithm configuration, CVRP, MILP

Popis souboru: application/pdf

Multi-fidelity optimization method with asynchronous generalized island model for AutoML

Autoři: Campero Jurado, Israel Vanschoren, Joaquin

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :220-223

Témata: machine learning, parallelization, algorithm configuration, 0202 electrical engineering, electronic engineering, information engineering, genetic programming, parameter tuning, 02 engineering and technology

Reinforcement learning based adaptive metaheuristics

Autoři: Tessari, Michele Iacca, Giovanni

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :1854-1861

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), 02 engineering and technology, adaptation, algorithm configuration, evolutionary algorithms, reinforcement learning, Machine Learning (cs.LG)

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2206.12233
https://hdl.handle.net/11572/351941
https://dl.acm.org/doi/10.1145/3520304.3533983
https://doi.org/10.1145/3520304.3533983

Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms

Autoři: Vermetten, Diederick Wang, Hao López-Ibañez, Manuel a další

Přispěvatelé: Vermetten, Diederick Wang, Hao López-Ibañez, Manuel a další

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference. :867-875

Témata: FOS: Computer and information sciences, Parameter tuning, algorithm configuration, [INFO.INFO-NE] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, evolution strategies, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), 02 engineering and technology, performance measures

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2204.09353

A landscape-based analysis of fixed temperature and simulated annealing

Autoři: Alberto Franzin Thomas Stützle

Zdroj: European Journal of Operational Research. 304:395-410

Témata: Informatique de gestion, Automatic algorithm configuration, Informatique mathématique, 0211 other engineering and technologies, Théorie de la décision et des choix collectifs, Metaheuristics, 0102 computer and information sciences, 02 engineering and technology, Exploratory landscape analysis, Recherche opérationnelle, 01 natural sciences, Simulated annealing, Stochastic local search

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

Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems: Towards Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems

Autoři: Blom, K. van der Hoos, H.H. Luo, C. a další

Přispěvatelé: Blom, K. van der Hoos, H.H. Luo, C. a další

Zdroj: IEEE Transactions on Evolutionary Computation. 26:1351-1364

Témata: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Algorithm selection, Benchmarking, Meta-algorithms, Competitions, 0202 electrical engineering, electronic engineering, information engineering, Software tools, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], 02 engineering and technology, Algorithm configuration

Popis souboru: application/pdf

Přístupová URL adresa: https://research.utwente.nl/en/publications/b004c564-f3b5-4cd3-b042-1f39a1c1de12
https://doi.org/10.1109/TEVC.2022.3215013
https://hal.sorbonne-universite.fr/hal-03927236v1
https://doi.org/10.1109/tevc.2022.3215013
https://hdl.handle.net/1887/3563307

Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance

Autoři: Furong Ye Carola Doerr Hao Wang a další

Přispěvatelé: Furong Ye Carola Doerr Hao Wang a další

Zdroj: IEEE Transactions on Evolutionary Computation. 26:1526-1538

Témata: FOS: Computer and information sciences, Black-Box Optimization, [INFO.INFO-NE] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], 0202 electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, Algorithm Configuration, Performance Measures, Neural and Evolutionary Computing (cs.NE), 02 engineering and technology, Evolutionary Computation

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2106.06304
https://hal.sorbonne-universite.fr/hal-03614648v1
https://doi.org/10.1109/tevc.2022.3159087
https://hal.sorbonne-universite.fr/hal-03614648v1/document
https://hdl.handle.net/1887/3514161