Suchergebnisse - "Algorithm Selection Problem"

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

Autoren: Mariusz Kaleta Tomasz Śliwiński

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

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

Zugangs-URL: https://doaj.org/article/f9eeec4a0e22425b9f5485519e3e83d6
https://doi.org/10.24425/ijet.2025.153584

The Algorithm Selection Problem for Solving Sudoku with Metaheuristics

Autoren: Notice, Danielle Kheiri, Ahmed Pavlidis, Nicos G.

Quelle: Notice, D, Kheiri, A & Pavlidis, N G 2023, The Algorithm Selection Problem for Solving Sudoku with Metaheuristics . in 2023 IEEE Congress on Evolutionary Computation, CEC 2023 . IEEE, 2023 IEEE Congress on Evolutionary Computation, CEC 2023, Chicago, United States, 1/07/23 . https://doi.org/10.1109/CEC53210.2023.10254026

Schlagwörter: metaheuristics, Sudoku, instance space analysis, algorithm selection problem

Zugangs-URL: https://research.manchester.ac.uk/en/publications/837b29be-9ff7-43ee-84fe-a79dd9b8ea20
https://doi.org/10.1109/CEC53210.2023.10254026
https://research.manchester.ac.uk/en/publications/837b29be-9ff7-43ee-84fe-a79dd9b8ea20
https://doi.org/10.1109/CEC53210.2023.10254026
http://www.scopus.com/inward/record.url?scp=85174546067&partnerID=8YFLogxK

A Deep Learning-Driven Black-Box Benchmark Generation Method via Exploratory Landscape Analysis

Autoren: Haoming Liang Fuqing Zhao Tianpeng Xu et al.

Quelle: Applied Sciences, Vol 15, Iss 15, p 8454 (2025)

Schlagwörter: algorithm selection problem, exploratory landscape analysis, benchmarking functions, black-box optimization, neural networks, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2076-3417/15/15/8454; https://doaj.org/toc/2076-3417

Zugangs-URL: https://doaj.org/article/64223c096ceb448b8aa6e2e5c3ccefe9

A machine learning approach for predicting the best heuristic for a large scaled Capacitated Lotsizing Problem

Autoren: Kärcher, Jens Meyr, Herbert

Schlagwörter: ddc:650, Algorithm selection problem, Machine learning, Neural network, Heuristics, Capacitated lotsizing problem, Mixed-integer linear programming

Relation: https://hdl.handle.net/10419/330534

Verfügbarkeit: https://hdl.handle.net/10419/330534
https://doi.org/10.1007/s00291-024-00804-9

Constructing a Meta-Learner for Unsupervised Anomaly Detection

Autoren: Małgorzata Gutowska Suzanne Little Andrew Mccarren

Quelle: IEEE Access, Vol 11, Pp 45815-45825 (2023)

Schlagwörter: FOS: Computer and information sciences, Artificial intelligence, model selection, Computer Science - Machine Learning, Anomaly detection, I.2.m, algorithm selection problem, TK1-9971, Machine Learning (cs.LG), meta-learning, unsupervised anomaly detection, Machine learning, Electrical engineering. Electronics. Nuclear engineering, meta-features, Algorithms

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2304.11438
https://doaj.org/article/2f007eeb8bea4d4cbf9fde9598926115

Optimal decision trees for the algorithm selection problem: integer programming based approaches

Autoren: Luiz Henrique de Campos Merschmann Matheus Guedes Vilas Boas Haroldo Gambini Santos et al.

Quelle: International Transactions in Operational Research. 28:2759-2781

Schlagwörter: Algoritmo de seleção, G.4, FOS: Computer and information sciences, Technology, Computer Science - Machine Learning, Discrete Mathematics (cs.DM), Decision trees, 0211 other engineering and technologies, Social Sciences, 3509 Transportation, logistics and supply chains, G.2.1, SOFTWARE, 02 engineering and technology, G.2.3, Algorithm selection problem, algorithm selection problem, Machine Learning (cs.LG), Feature-based parameter tuning, Business & Economics, 0102 Applied Mathematics, Computer Science - Data Structures and Algorithms, 0202 electrical engineering, electronic engineering, information engineering, 90Cxx, 90C05, 4901 Applied mathematics, Data Structures and Algorithms (cs.DS), Árvores de decisão, Data mining, integer programming, PROGRESS, Science & Technology, decision trees, Mineração de dados, Operations Research & Management Science, COIN-OR branch and cut, feature-based parameter tuning, Integer programming, data mining, Management, Problema de Programação Inteira, 0806 Information Systems, 1503 Business and Management, variable neighborhood search, Variable neighborhood search, Computer Science - Discrete Mathematics

Zugangs-URL: https://lirias.kuleuven.be/bitstream/123456789/642654/2/1907.02211.pdf
http://arxiv.org/abs/1907.02211
https://arxiv.org/pdf/1907.02211
https://arxiv.org/abs/1907.02211
http://ui.adsabs.harvard.edu/abs/2019arXiv190702211G/abstract
https://dblp.uni-trier.de/db/journals/corr/corr1907.html#abs-1907-02211
https://onlinelibrary.wiley.com/doi/abs/10.1111/itor.12724
http://arxiv-export-lb.library.cornell.edu/abs/1907.02211
https://www.repositorio.ufop.br/handle/123456789/12041
https://www.repositorio.ufop.br/jspui/bitstream/123456789/12041/1/TESE_DecisionTreesAlgorithm.pdf
https://lirias.kuleuven.be/handle/123456789/642654
https://doi.org/10.1111/itor.12724

Selecting algorithms for large berth allocation problems

Autoren: Sanlaville, Eric Drozdowski, Maciej Wawrzyniak, Jakub et al.

Weitere Verfasser: Sanlaville, Eric Drozdowski, Maciej Wawrzyniak, Jakub et al.

Quelle: European Journal of Operational Research. 283:844-862

Schlagwörter: Scheduling, algorithm portfolios, 0502 economics and business, 05 social sciences, [INFO.INFO-RO]Computer Science [cs]/Operations Research [math.OC], 0211 other engineering and technologies, quality- runtime trade-off, heuristics, 02 engineering and technology, algorithm selection problem, berth allocation problem, [INFO.INFO-RO] Computer Science [cs]/Operations Research [math.OC]

Zugangs-URL: https://dblp.uni-trier.de/db/journals/eor/eor283.html#WawrzyniakDS20
https://sin.put.poznan.pl/publications/details/i26244
https://www.sciencedirect.com/science/article/pii/S0377221719309671
https://ideas.repec.org/a/eee/ejores/v283y2020i3p844-862.html

An Exploratory Landscape Analysis-Based Benchmark Suite

Autoren: Ryan Dieter Lang Andries Petrus Engelbrecht

Quelle: Algorithms, Vol 14, Iss 3, p 78 (2021)

Schlagwörter: exploratory landscape analysis, benchmarking, algorithm selection problem, sample size, single-objective boundary-constrained continuous optimization problems, black-box optimization, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95

Relation: https://www.mdpi.com/1999-4893/14/3/78; https://doaj.org/toc/1999-4893; https://doaj.org/article/da930d28d6ed4d5abea91c3c033b6aea

Verfügbarkeit: https://doi.org/10.3390/a14030078
https://doaj.org/article/da930d28d6ed4d5abea91c3c033b6aea

A Deep Learning Approach to Predicting Solutions in Streaming Optimisation Domains

Autoren: Alissa, Mohamad Sim, Kevin Hart, Emma

Schlagwörter: Algorithm Selection Problem, Deep Learning, Bin-packing

Relation: http://researchrepository.napier.ac.uk/Output/2654979

Verfügbarkeit: https://doi.org/10.1145/3377930.3390224
https://napier-repository.worktribe.com/file/2654979/1/A%20Deep%20Learning%20Approach%20To%20Predicting%20Solutions%20In%20Streaming%20Optimisation%20Domains
http://researchrepository.napier.ac.uk/Output/2654979

Framework of algorithm portfolios for strip packing problem

Autoren: Piechowiak, Kamil Drozdowski, Maciej Sanlaville, Éric et al.

Weitere Verfasser: Piechowiak, Kamil Drozdowski, Maciej Sanlaville, Éric et al.

Quelle: Computers & Industrial Engineering. 172:108538

Schlagwörter: algorithm portfolios, runtime-quality trade-off, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Heuristics, 2D packing, [INFO]Computer Science [cs], [MATH] Mathematics [math], 02 engineering and technology, [MATH]Mathematics [math], [INFO] Computer Science [cs], algorithm selection problem

MPI Collective Algorithm Selection and Quadtree Encoding

Autoren: Pješivac-Grbović, Jelena Bosilca, George Fagg, Graham E. et al.

Quelle: Lecture Notes in Computer Science ISBN: 9783540391104
Pješivac-Grbović, J, Fagg, G E, Angskun, T, Bosilca, G & Dongarra, J J 2006, MPI collective algorithm selection and quadtree encoding. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. vol. 4192, Lecture Notes in Computer Science, Springer Nature, pp. 40-48, 13th European PVM/MPI User's Group Meeting, Bonn, 1/07/06. https://doi.org/10.1007/11846802_14
Pješivac-Grbović, J, Bosilca, G, Fagg, G E, Angskun, T & Dongarra, J J 2007, 'MPI collective algorithm selection and quadtree encoding', Parallel Computing, vol. 33, no. 9, pp. 613-623. https://doi.org/10.1016/j.parco.2007.06.005

Schlagwörter: 4. Education, Performance evaluation, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 15. Life on land, Algorithm selection problem, 7. Clean energy, Performance optimization, MPI collective operations, Quadtree encoding

Zugangs-URL: http://icl.cs.utk.edu/projectsfiles/ftmpi/pubs/jpg_qtdec_parco.pdf
https://core.ac.uk/display/74149491
https://www.sciencedirect.com/science/article/pii/S0167819107000804
https://www.research.manchester.ac.uk/portal/en/publications/mpi-collective-algorithm-selection-and-quadtree-encoding(d3ce7641-f4c2-4407-a692-7b17476fcd10).html
https://www.escholar.manchester.ac.uk/uk-ac-man-scw:1h101
https://dblp.uni-trier.de/db/journals/pc/pc33.html#Pjesivac-GrbovicBFAD07
http://www.netlib.org/utk/people/JackDongarra/PAPERS/MPI-collective-euro-pvmmpi-2006.pdf
http://core.ac.uk/display/20710212
https://dblp.uni-trier.de/db/conf/pvm/pvm2006.html#Pjesivac-GrbovicFABD06
http://icl.cs.utk.edu/news_pub/submissions/MPI-collective-euro-pvmmpi-2006.pdf
https://link.springer.com/content/pdf/10.1007%2F11846802_14.pdf
https://www.escholar.manchester.ac.uk/uk-ac-man-scw:2h167
http://dblp.uni-trier.de/db/conf/pvm/pvm2006.html#Pjesivac-GrbovicFABD06
http://dblp.uni-trier.de/rec/bibtex/conf/pvm/Pjesivac-GrbovicFABD06
https://doi.org/10.1007/11846802_14
http://dblp.uni-trier.de/rec/bibtex/conf/pvm/Pjesivac-GrbovicFABD06.xml
https://research.manchester.ac.uk/en/publications/a5667ce6-d5ef-4cee-afb7-7437df8777fc
http://dblp.uni-trier.de/db/journals/pc/pc33.html#Pjesivac-GrbovicBFAD07
https://doi.org/10.1016/j.parco.2007.06.005
https://research.manchester.ac.uk/en/publications/d3ce7641-f4c2-4407-a692-7b17476fcd10
http://dblp.uni-trier.de/rec/bibtex/journals/pc/Pjesivac-GrbovicBFAD07.xml
http://dblp.uni-trier.de/rec/bibtex/journals/pc/Pjesivac-GrbovicBFAD07

Practical performance models of algorithms in evolutionary program induction and other domains

Autoren: Graff, Mario Poli, Riccardo

Quelle: Artificial Intelligence. 174:1254-1276

Schlagwörter: Artificial Intelligence, QA75 Electronic computers. Computer science, Performance prediction, Algorithm taxonomies, 0202 electrical engineering, electronic engineering, information engineering, QH426 Genetics, 0102 computer and information sciences, 02 engineering and technology, Algorithm selection problem, Program induction, 01 natural sciences, Evolution algorithms

Zugangs-URL: https://www.sciencedirect.com/science/article/pii/S000437021000127X
http://repository.essex.ac.uk/5554/
https://doi.org/10.1016/j.artint.2010.07.005
https://core.ac.uk/display/82522422
https://dblp.uni-trier.de/db/journals/ai/ai174.html#GraffP10

Models and Algorithms for the Optimisation of Replenishment, Production and Distribution Plans in Industrial Enterprises

Autoren: Guzmán Ortiz, Brunnel Eduardo

Thesis Advisors: Andrés Navarro, Beatriz, Poler Escoto, Raúl, Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials, Generalitat Valenciana

Schlagwörter: Algorithm selection problem, Distribution planning, Fuzzy TOPSIS, Job-Shop Scheduling, Matheuristic, Mixed Integer Linear Programming, Optimization, Production planning, Replenishment planning, Sequencing, Supply chain, Cadena de suministro, Secuenciación, Reabastecimiento, Planificación de la producción, Optimización, Programación lineal entera mixta (MILP), Programación del taller, TOPSIS difuso, Problema de selección de algoritmos, Planificación de la distribución, ORGANIZACION DE EMPRESAS

Relation: info:eu-repo/grantAgreement/GVA//BEFPI%2F2021%2F040/ES/Subvencions per a estades de contractats predoctorals en centres d'investigació fora de la Comunitat Valenciana; info:eu-repo/grantAgreement/GVA//ACIF%2F2018%2F170/ES/AYUDA PREDOCTORAL GVA-GUZMAN/

Verfügbarkeit: http://hdl.handle.net/10251/187461

Resources for algorithm selection for large berth allocation problem

Autoren: Drozdowski, Maciej

Weitere Verfasser: Drozdowski, Maciej

Schlagwörter: Business and Management, Computer and Information Science, Engineering, Mathematical Sciences, combinatorial optimization, maritime logistics, scheduling, heuristics, algorithm selection problem, berth allocation problem, quality-runtime trade-off, algorithm portfolios

Relation: M.Drozdowski, J.Wawrzyniak, É.Sanlaville, Resources for Algorithm Selection for Large Berth Allocation Problem, 2020; https://doi.org/10.18150/LQSB0N

Verfügbarkeit: https://doi.org/10.18150/LQSB0N

Algorithm portfolio based scheme for dynamic optimization problems

Autoren: Jenny Fajardo Calderín Antonio D. Masegosa David A. Pelta

Quelle: International Journal of Computational Intelligence Systems, Vol 8, Iss 4 (2015)

Schlagwörter: algorithm portfolio, dynamic optimization problems, learning, algorithm selection problem, combinatorial problems, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://www.atlantis-press.com/article/25868620.pdf; https://doaj.org/toc/1875-6883

Zugangs-URL: https://doaj.org/article/c0ef394f639a478ca9bf91db0b87d341

Models of performance of time series forecasters

Autoren: MARIO GRAFF GUERRERO Hugo Jair Escalante Balderas JAIME CERDA JACOBO

Schlagwörter: info:eu-repo/classification/Algorithm selection problem/Algorithm selection problem, info:eu-repo/classification/Time series/Time series, info:eu-repo/classification/Time series features/Time series features, info:eu-repo/classification/Forecasting/Forecasting, info:eu-repo/classification/Performance prediction/Performance prediction, info:eu-repo/classification/cti/1, info:eu-repo/classification/cti/12, info:eu-repo/classification/cti/1203

Dateibeschreibung: application/pdf

Relation: citation:Graff, M., et al., (2013). Models of performance of time series forecasters, Neurocomputing Vol. (122): 375–385; http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/2341

Verfügbarkeit: http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/2341

MPI collective algorithm selection and quadtree encoding

Autoren: George Bosilca Graham E. Fagg Thara Angskun et al.

Weitere Verfasser: George Bosilca Graham E. Fagg Thara Angskun et al.

Quelle: http://wojciech.bozejko.staff.iiar.pwr.wroc.pl/zajecia/elsevier/07092420081210200.pdf.

Schlagwörter: MPI collective operations, Performance optimization, Algorithm selection problem, Quadtree encoding, Performance evaluation

Dateibeschreibung: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.108.2744; http://wojciech.bozejko.staff.iiar.pwr.wroc.pl/zajecia/elsevier/07092420081210200.pdf

Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.108.2744
http://wojciech.bozejko.staff.iiar.pwr.wroc.pl/zajecia/elsevier/07092420081210200.pdf

On normalization and algorithm selection for unsupervised outlier detection

Autoren: Sevvandi Kandanaarachchi Mario Munoz Rob Hyndman et al.

Schlagwörter: Artificial intelligence not elsewhere classified, Applied statistics, Algorithm selection problem for outlier detection, Effect of normalization on outlier detection, Instance space analysis, Instance space analysis for outlier detection, Unsupervised outlier detection

Relation: 10779/rmit.27530964.v1; https://figshare.com/articles/journal_contribution/On_normalization_and_algorithm_selection_for_unsupervised_outlier_detection/27530964

Verfügbarkeit: https://figshare.com/articles/journal_contribution/On_normalization_and_algorithm_selection_for_unsupervised_outlier_detection/27530964

Algorithm selection for the graph coloring problem

Autoren: Schwengerer, Martin Musliu, Nysret

Weitere Verfasser: Schwengerer, Martin Musliu, Nysret

Schlagwörter: Algorithm Selection, Graphenfärbeproblem, Graphenfärbung, Maschinelles Lernen, Klassifikationsalgorithmen, Algorithm Selection Problem, graph coloring, graph coloring problem, machine learning, classification

Dateibeschreibung: X, 133 S.

Relation: https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-60964; http://hdl.handle.net/20.500.12708/8890; AC07814505; urn:nbn:at:at-ubtuw:1-60964

Verfügbarkeit: https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-60964
https://hdl.handle.net/20.500.12708/8890

Landscape analysis-based automated algorithm selection

Autoren: Lang, Ryan Dieter Engelbrecht, Andries Stellenbosch University. Faculty of Science. Dept. of Computer Science.

Weitere Verfasser: Lang, Ryan Dieter Engelbrecht, Andries Stellenbosch University. Faculty of Science. Dept. of Computer Science.

Schlagwörter: Computer algorithms -- Mathematical models, Algorithm selection problem -- Measurement, Landscapes -- Analysis -- Computer programs, Metaheuristics, UCTD

Dateibeschreibung: xviii, 157 pages : illustrations (some color); application/pdf

Relation: https://scholar.sun.ac.za/handle/10019.1/130243

Verfügbarkeit: https://scholar.sun.ac.za/handle/10019.1/130243