Výsledky vyhledávání - sequential model-based algorithm configuration

MO-SMAC: Multiobjective Sequential Model-Based Algorithm Configuration

Autoři: Jeroen G. Rook Carolin Benjamins Jakob Bossek a další

Zdroj: Evolutionary Computation. :1-24

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40096519

Model-Based Algorithm Configuration with Adaptive Capping and Prior Distributions

Autoři: Bleukx, Ignace Berden, Senne Decleyre, Nicholas a další

Přispěvatelé: Bleukx, Ignace Berden, Senne Decleyre, Nicholas a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783031080104
Integration of Constraint Programming, Artificial Intelligence, and Operations Research. Lecture Notes in Computer Science
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Integration of Constraint Programming, Artificial Intelligence, and Operations Research

Témata: Prior distributions, Technology, Science & Technology, Operations Research & Management Science, Computer Science, Adaptive capping, Algorithm configuration, Computer Science, Software Engineering, Sequential model-based optimization, Computer Science, Artificial Intelligence

Combining sequential model-based algorithm configuration with default-guided probabilistic sampling

Autoři: Marie Anastacio Holger H. Hoos

Zdroj: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. :301-302

Témata: 0202 electrical engineering, electronic engineering, information engineering, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/gecco/gecco2020c.html#AnastacioH20

Sequential Model-Based Optimization for General Algorithm Configuration

Autoři: Kevin Leyton-Brown Holger H. Hoos Frank Hutter

Zdroj: Lecture Notes in Computer Science ISBN: 9783642255656

Přístupová URL adresa: http://www.cs.ubc.ca/spider/hutter/papers/10-TR-SMAC.pdf

Improving the computational efficiency of stochastic programs using automated algorithm configuration: an application to decentralized energy systems

Autoři: Lars Kotthoff Valentin Bertsch Holger H. Hoos a další

Zdroj: Annals of Operations Research.

Témata: OR in energy Large-scale optimization Stochastic programming Uncertainty modeling Automated algorithm configuration Sequential model-based algorithm configuration, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Přístupová URL adresa: https://link.springer.com/article/10.1007/s10479-018-3122-6

Sequential model-based optimization for general algorithm configuration (extended version

Autoři: Frank Hutter Holger H. Hoos Kevin Leyton-brown a další

Přispěvatelé: Frank Hutter Holger H. Hoos Kevin Leyton-brown a další

Zdroj: http://www.cs.ubc.ca/labs/beta/Projects/SMAC/papers/11-LION5-SMAC.pdf.

Popis souboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.676.3559

Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.676.3559
http://www.cs.ubc.ca/labs/beta/Projects/SMAC/papers/11-LION5-SMAC.pdf

K.: Sequential model-based optimization for general algorithm configuration (extended version

Autoři: Frank Hutter Holger H. Hoos Kevin Leyton-brown a další

Přispěvatelé: Frank Hutter Holger H. Hoos Kevin Leyton-brown a další

Zdroj: http://www.cs.ubc.ca/%7Ehoos/Publ/HutEtAl11.pdf.

Popis souboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.228.3355; http://www.cs.ubc.ca/%7Ehoos/Publ/HutEtAl11.pdf

Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.228.3355
http://www.cs.ubc.ca/%7Ehoos/Publ/HutEtAl11.pdf

Using automated algorithm configuration to improve the optimization of decentralized energy systems modeled as large-scale, two-stage stochastic programs

Autoři: Schwarz, Hannes Hoos, Holger Kotthoff, Lars a další

Témata: uncertainty modeling, stochastic programming, Economics, ddc:330, OR in energy, large-scale optimization, automated algorithm configuration, sequential model-based algorithm configuration, 7. Clean energy

Popis souboru: application/pdf

Přístupová URL adresa: https://publikationen.bibliothek.kit.edu/1000072492/4263013
https://publikationen.bibliothek.kit.edu/1000072492
http://hdl.handle.net/10419/176750
https://publikationen.bibliothek.kit.edu/1000072492
https://doi.org/10.5445/IR/1000072492
http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:swb:90-724925
https://publikationen.bibliothek.kit.edu/1000072492/4263013

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

Petroleum Reservoir Control Optimization with the Use of the Auto-Adaptive Decision Trees

Autoři: Edyta Kuk Jerzy Stopa Michał Kuk a další

Zdroj: Energies, Vol 14, Iss 5702, p 5702 (2021)

Témata: production optimization, auto-adaptive decision tree, artificial intelligence, machine learning, sequential model-based algorithm configuration, CCS-EOR, Technology

Relation: https://www.mdpi.com/1996-1073/14/18/5702; https://doaj.org/toc/1996-1073; https://doaj.org/article/e1a3713f1a1a411ea127d2d16086e46d

Dostupnost: https://doi.org/10.3390/en14185702
https://doaj.org/article/e1a3713f1a1a411ea127d2d16086e46d

Optimal Well Control Based on Auto-Adaptive Decision Tree—Maximizing Energy Efficiency in High-Nitrogen Underground Gas Storage

Autoři: Edyta Kuk Jerzy Stopa Michał Kuk a další

Zdroj: Energies, Vol 15, Iss 3413, p 3413 (2022)

Témata: optimal control, auto-adaptive decision tree, artificial intelligence, machine learning, sequential model-based algorithm configuration, Technology

Relation: https://www.mdpi.com/1996-1073/15/9/3413; https://doaj.org/toc/1996-1073; https://doaj.org/article/0daa77aa57024a9bbf182c91ccc16950

Dostupnost: https://doi.org/10.3390/en15093413
https://doaj.org/article/0daa77aa57024a9bbf182c91ccc16950

Realtime gray-box algorithm configuration using cost-sensitive classification: Realtime Gray-Box Algorithm...: D. Weiss and K. Tierney.

Autoři: Weiss, Dimitri Tierney, Kevin

Zdroj: Annals of Mathematics & Artificial Intelligence; Feb2025, Vol. 93 Issue 1, p109-130, 22p

Unbalanced budget distribution for automatic algorithm configuration.

Autoři: Ghambari, Soheila Rakhshani, Hojjat Lepagnot, Julien a další

Zdroj: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Feb2022, Vol. 26 Issue 3, p1315-1330, 16p

Témata: DISTRIBUTION (Probability theory), CONFIGURATION space, GENETIC algorithms, TIME management, JOB performance

Metamodel-based dynamic algorithm configuration using artificial neural networks.

Autoři: Dunke, Fabian Nickel, Stefan

Zdroj: International Journal of General Systems; Jan2024, Vol. 53 Issue 1, p41-71, 31p

Témata: METAHEURISTIC algorithms, ALGORITHMS, ARTIFICIAL neural networks, QUALITY of service

Pruning SMAC search space based on key hyperparameters.

Autoři: Li, Hui Liang, Qingqing Chen, Mei a další

Zdroj: Concurrency & Computation: Practice & Experience; 4/25/2022, Vol. 34 Issue 9, p1-11, 11p

Témata: CONFIGURATION space, MACHINE learning, REGRESSION analysis

A Literature Survey on Offline Automatic Algorithm Configuration.

Autoři: Eryoldaş, Yasemin Durmuşoglu, Alptekin

Zdroj: Applied Sciences (2076-3417); Jul2022, Vol. 12 Issue 13, pN.PAG-N.PAG, 26p

Témata: ALGORITHMS, HEURISTIC, METAHEURISTIC algorithms, ONLINE algorithms, LITERATURE, RESEARCH & development

Urban Flood Prediction Model Based on Transformer-LSTM-Sparrow Search Algorithm.

Autoři: Fan, Zixuan Zhang, Jinping Chen, Yanpo a další

Zdroj: Water (20734441); May2025, Vol. 17 Issue 9, p1404, 21p

Témata: LONG short-term memory, FLOOD forecasting, SEARCH algorithms, CLIMATE change, RAINFALL

Instance-Specific Algorithm Configuration as a Method for Non-Model-Based Portfolio Generation

Autoři: Meinolf Sellmann Yuri Malitsky

Zdroj: Lecture Notes in Computer Science ISBN: 9783642298271

Přístupová URL adresa: https://rd.springer.com/chapter/10.1007%2F978-3-642-29828-8_16
https://link.springer.com/chapter/10.1007/978-3-642-29828-8_16
http://dblp.uni-trier.de/db/conf/cpaior/cpaior2012.html#MalitskyS12
https://link.springer.com/content/pdf/10.1007%2F978-3-642-29828-8_16.pdf

A Classification-Based Blood–Brain Barrier Model: A Comparative Approach.

Autoři: Saber, Ralph Rihana, Sandy

Zdroj: Pharmaceuticals (14248247); Jun2025, Vol. 18 Issue 6, p773, 11p

Témata: MACHINE learning, DRUG discovery, FEATURE selection, ARTIFICIAL intelligence, SEQUENTIAL learning, BLOOD-brain barrier

Sequential Model-Based Optimization for General Algorithm Configuration

Autoři: Frank Hutter Holger H. Hoos Kevin Leyton-brown a další

Přispěvatelé: Frank Hutter Holger H. Hoos Kevin Leyton-brown a další

Zdroj: http://www.cs.ubc.ca/%7Ehutter/papers/11-LION5-SMAC.pdf.

Popis souboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.1507

Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.1507
http://www.cs.ubc.ca/%7Ehutter/papers/11-LION5-SMAC.pdf