Výsledky vyhledávání - "algorithm selection"

Instance Space Analysis of the Capacitated Vehicle Routing Problem with Mixture Discriminant Analysis

Autoři: Danielle Notice Hamed Soleimani Nicos G. Pavlidis a další

Přispěvatelé: Danielle Notice Hamed Soleimani Nicos G. Pavlidis a další

Zdroj: Notice, D, Soleimani, H, Pavlidis, N G, Kheiri, A & Muñoz, M A 2025, Instance Space Analysis of the Capacitated Vehicle Routing Problem with Mixture Discriminant Analysis. in G Ochoa (ed.), GECCO 2025-Proceedings of the 2025 Genetic and Evolutionary Computation Conference. GECCO 2025-Proceedings of the 2025 Genetic and Evolutionary Computation Conference, Association for Computing Machinery, pp. 1172-1180, 2025 Genetic and Evolutionary Computation Conference, GECCO 2025, Malaga, Spain, 14/07/25. https://doi.org/10.1145/3712256.3726405

Témata: capacitated vehicle routing problem, supervised dimension reduction, discriminant analysis, instance space analysis, algorithm selection

Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks

Autoři: Song, Ya Bliek, Laurens Zhang, Yingqian

Zdroj: Proceedings of the 17th International Conference on Agents and Artificial Intelligence. :472-479

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Traveling salesperson problem, Algorithm Selection, Graph Classification, 0202 electrical engineering, electronic engineering, information engineering, Traveling Salesperson Problem, Instance Hardness, 02 engineering and technology, Graph Neural Network, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2302.04035
https://research.tue.nl/en/publications/9c03a746-d665-4805-b61c-c7eccaee0b38
https://doi.org/10.5220/0013153400003890

MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine Combinations and Shifts

Autoři: Diederick Vermetten Furong Ye Thomas Bäck a další

Přispěvatelé: Diederick Vermetten Furong Ye Thomas Bäck a další

Zdroj: ACM Transactions on Evolutionary Learning and Optimization. 5:1-19

Témata: FOS: Computer and information sciences, 0202 electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, benchmarking, Neural and Evolutionary Computing (cs.NE), 02 engineering and technology, [INFO] Computer Science [cs], algorithm selection, black-box optimization

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2312.11083

Neural-Driven heuristic for strip packing trained with Black-Box optimization

Autoři: Mariusz Kaleta Tomasz Śliwiński

Zdroj: International Journal of Electronics and Telecommunications, Vol vol. 71, Iss No 2, Pp 387-396 (2025)

Témata: reinforcement learning, Telecommunication, strip packing problem, heuristics, Electrical engineering. Electronics. Nuclear engineering, TK5101-6720, neural networks, algorithm selection problem, TK1-9971

Přístupová URL adresa: https://doaj.org/article/f9eeec4a0e22425b9f5485519e3e83d6
https://doi.org/10.24425/ijet.2025.153584

Optimizing protein-ligand docking through machine learning: algorithm selection with AutoDock Vina

Autoři: Ala’ Omar Hasan Zayed

Zdroj: Discover Chemistry, Vol 2, Iss 1, Pp 1-17 (2025)

Témata: Protein-ligand interactions, Optimization problem, Algorithm selection, Vina, Machine learning, Chemistry, QD1-999

Popis souboru: electronic resource

Relation: https://doaj.org/toc/3005-1193

Přístupová URL adresa: https://doaj.org/article/47ff833ecfff40d696228da38e5f5b74

On Generalization of ELA Feature Groups

Autoři: Gašper Petelin Gjorgjina Cenikj

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :419-422

Témata: izbira algoritmov, exploratory landscape analysis, algorithm selection, black-box optimization

Popis souboru: text/url; application/pdf

Přístupová URL adresa: https://dirros.openscience.si/IzpisGradiva.php?id=20520
https://doi.org/10.1145/3638530.3654124
https://hdl.handle.net/20.500.12556/DiRROS-20520

Hybrid Algorithm Selection and Hyperparameter Tuning on Distribute Machine Learning Resources: Hierarchical Agent-based Approach

Autoři: Ahmad Esmaeili Julia Rayz Eric Matson

Zdroj: ACM Transactions on Internet Technology. 24:1-30

Témata: FOS: Computer and information sciences, Algorithm selection, Distributed machine learning, Computer Science - Machine Learning, Hyperparameter tuning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Science - Multiagent Systems, Machine Learning (cs.LG), Multiagent Systems (cs.MA)

Přístupová URL adresa: http://arxiv.org/abs/2309.06604

On bi-objective combinatorial optimization with heterogeneous objectives

Autoři: Cosson, Raphaël Santana, Roberto Derbel, Bilel a další

Přispěvatelé: Cosson, Raphaël Santana, Roberto Derbel, Bilel a další

Zdroj: European Journal of Operational Research. 319:89-101

Témata: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Multiple optimization, Landscape analysis, Automated algorithm selection, [INFO.INFO-RO] Computer Science [cs]/Operations Research [math.OC]

Přístupová URL adresa: https://hal.science/hal-04692894v1
https://doi.org/10.1016/j.ejor.2024.06.029

Which algorithm to select in sports timetabling?

Autoři: David Van Bulck Dries Goossens Jan-Patrick Clarner a další

Zdroj: EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Témata: FOS: Computer and information sciences, space analysis, Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Sports scheduling, OR in sports, Machine Learning (cs.LG), Business and Economics, Algorithm selection, INSTANCES, Artificial Intelligence (cs.AI), ITC2021, FOOTBALL LEAGUE, Instance, OPTIMIZATION

Popis souboru: application/pdf; text

Přístupová URL adresa: http://arxiv.org/abs/2309.03229
https://biblio.ugent.be/publication/01J2NJQP89DP0NJCF212JK700K
http://hdl.handle.net/1854/LU-01J2NJQP89DP0NJCF212JK700K
https://biblio.ugent.be/publication/01J2NJQP89DP0NJCF212JK700K/file/01J2NJTH42Z12DTGB66XBVXNQ4
http://doi.org/10.1016/j.ejor.2024.06.005

Transformer-Based Feature Learning for Algorithm Selection in Combinatorial Optimisation

Autoři: Pellegrino, Alessio Akgün, Özgür Dang, Nguyen a další

Přispěvatelé: Pellegrino, Alessio Akgün, Özgür Dang, Nguyen a další

Témata: MCC, Algorithm selection, machine learning, Constraint modelling, feature extraction, Machine learning, NDAS, Feature extraction, ddc:004, algorithm selection, Software, transformer architecture, Transformer architecture

Popis souboru: application/pdf

Přístupová URL adresa: https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2025.31
https://portal.findresearcher.sdu.dk/da/publications/ab8994c1-7cca-4b14-96e7-c824875f4317
https://doi.org/10.4230/LIPIcs.CP.2025.31
https://hdl.handle.net/10023/32828

Impact of Scaling in ELA Feature Calculation on Algorithm Selection Cross-Benchmark Transferability

Autoři: Cenikj, Gjorgjina Petelin, Gašper Eftimov, Tome

Zdroj: 2024 IEEE Congress on Evolutionary Computation (CEC). :1-8

Témata: izbira algoritmov, exploratory landscape analysis, transfer learning, algorithm selection

Popis souboru: text/url; application/pdf

Přístupová URL adresa: https://hdl.handle.net/20.500.12556/DiRROS-20519
https://dirros.openscience.si/IzpisGradiva.php?id=20519
https://doi.org/10.1109/cec60901.2024.10612032

Meta-learning from learning curves for budget-limited algorithm selection

Autoři: Manh Hung Nguyen Lisheng Sun Hosoya Isabelle Guyon a další

Přispěvatelé: Manh Hung Nguyen Lisheng Sun Hosoya Isabelle Guyon a další

Zdroj: Pattern Recognition Letters. 185:225-231

Témata: FOS: Computer and information sciences, reinforcement learning, Computer Science - Machine Learning, REVEAL games, [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], Machine Learning (stat.ML), [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Machine Learning (cs.LG), meta-learning, Statistics - Machine Learning, Optimization and Control (math.OC), challenge, FOS: Mathematics, learning curves, algorithm selection, Mathematics - Optimization and Control

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2410.07696
https://inria.hal.science/hal-04719035v1
https://inria.hal.science/hal-04719035v1/document
https://doi.org/10.1016/j.patrec.2024.08.010

Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution

Autoři: Hongshu Guo Yining Ma Zeyuan Ma a další

Zdroj: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 54:4247-4259

Témata: Algorithm selection, deep reinforcement learning, differential evolution, Theory and Algorithms, Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing, meta-black-box optimization, black-box optimization

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2403.02131

ROLE OF ALGORITHMS IN MACHINE LEARNING

Autoři: Choriyev, Anvar

Témata: Machine Learning, Algorithms, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Model Performance, AutoML, Algorithm Selection, Neural Networks, Decision Trees, Clustering, Algorithmic Fairness, Explainable AI (XAI), Data Science

Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection

Autoři: Moritz Seiler Urban Škvorc Carola Doerr a další

Přispěvatelé: Moritz Seiler Urban Škvorc Carola Doerr a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783031756221

Témata: Black-box Optimization, Self-Supervised Learning, Deep Learning, Automated Algorithm Selection, Feature Selection, [INFO] Computer Science [cs], Exploratory Landscape Analysis

Popis souboru: application/pdf

Deep Learning Based Algorithm Selection Approach for Underwater Image Processing

Autoři: Džaja, Barbara

Témata: Deep Learning, Algorithm Selection, Underwater Image Processing, Image Enhancement, Quality Metrics

A machine learning-based selection approach for solving the single machine scheduling problem with Early/Tardy jobs

Autoři: Ahmed Adnane Abdessemed Leila Hayet Mouss Khaled Benaggoune a další

Zdroj: BizInfo, Vol 15, Iss 1, Pp 1-10 (2024)

Témata: machine learning, Economics as a science, meta-heuristics, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, single machine scheduling problem, algorithm selection, HB71-74, early/tardy jobs

Přístupová URL adresa: https://doaj.org/article/224f89cf11ec48dfaa6766e8c61b9d9d

A dynamic AI-based algorithm selection for Virtual Network Embedding

Autoři: Bouroudi, Abdelmounaim Outtagarts, Abdelkader Hadjadj-Aoul, Yassine a další

Přispěvatelé: Bouroudi, Abdelmounaim Outtagarts, Abdelkader Hadjadj-Aoul, Yassine a další

Zdroj: Annals of Telecommunications. 80:265-281

Témata: Deep Reinforcement Learning, AI, Algorithm Selection, B5G/6G, [INFO] Computer Science [cs], Virtual Network Embedding, B5G, 6G

Popis souboru: application/pdf

Přístupová URL adresa: https://inria.hal.science/hal-04749254v1/document
https://inria.hal.science/hal-04749254v1
https://doi.org/10.1007/s12243-024-01040-6

A Comparative Study of OpenMP Scheduling Algorithm Selection Strategies

Autoři: Jonas H. Muller Korndorfer Ali Mohammed Ahmed Eleliemy a další

Zdroj: IEEE Access, Vol 13, Pp 151216-151234 (2025)

Témata: Algorithm selection, automated selection, expert methods, machine learning, reinforcement learning, self-scheduling, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11135447/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/e39d526b0b314c3b8ec989fda8736c65

OPERATIONAL ALGORITHMS FOR TESTING FIRE-TECHNICAL EQUIPMENT

Autoři: Sergey M. Dymov Maxim V. Vishchekin Aleksandr M. Aleksandrov a další

Zdroj: Актуальные вопросы пожарной безопасности, Vol 20, Iss 2, Pp 33-38 (2024)

Témata: product commissioning, Systems of building construction. Including fireproof construction, concrete construction, TH1000-1725, testing algorithm, algorithm selection, fire and technical equipment, regulatory documentation, operating conditions

Přístupová URL adresa: https://doaj.org/article/7137dfc92edc43feb9b1693dea85f6a0