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

A Dataset and Experimental Evaluation of a Parallel Conflict Detection Solution for Model-Based Diagnosis.

Autoři: Cabezas-Quinto, Jessica Janina Vidal-Silva, Cristian Serrano-Malebrán, Jorge a další

Zdroj: Data (2306-5729); Sep2025, Vol. 10 Issue 9, p139, 14p

Témata: DIAGNOSIS, ALGORITHMS, CONSTRAINT satisfaction, SCALABILITY, MULTICORE processors, COMPARATIVE studies, ACQUISITION of data

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

ATSC-NEX: Automated Time Series Classification With Sequential Model-Based Optimization and Nested Cross-Validation

Autoři: Zou Guangrong Tahkola, Mikko

Zdroj: IEEE Access, Vol 10, Pp 39299-39312 (2022)
IEEE Access

Témata: ta113, Benchmark testing, sequential model-based optimization, configuration optimization, nested cross-validation, Tme series classification, Data models, Time series analysis, Computational modeling, 02 engineering and technology, Transforms, Sequential model-based optimization, TK1-9971, Automated machine learning, 0202 electrical engineering, electronic engineering, information engineering, Feature extraction, Time series classification, Electrical engineering. Electronics. Nuclear engineering, automated machine learning

Přístupová URL adresa: https://doaj.org/article/10e155a5ee404ed9904df9f5a9a264d6

Scalable Model-Based Diagnosis with FastDiag: A Dataset and Parallel Benchmark Framework.

Autoři: Carrión León, Delia Isabel Vidal-Silva, Cristian Márquez, Nicolás

Zdroj: Data (2306-5729); Sep2025, Vol. 10 Issue 9, p141, 13p

Témata: BENCHMARK problems (Computer science), ALGORITHMS, MATHEMATICAL models, DIAGNOSIS

Solving Fredholm Integral Equations of the First Kind Using a Gaussian Process Model Based on Sequential Design.

Autoři: Qiu, Renjun Xu, Juanjuan Xu, Ming

Zdroj: Mathematics (2227-7390); Aug2025, Vol. 13 Issue 15, p2407, 21p

Témata: GAUSSIAN processes, FREDHOLM equations, INTERPOLATION, NUMERICAL analysis, APPROXIMATION algorithms, PROBLEM solving

A Sequential Handwriting Recognition Model Based on a Dynamically Configurable CRNN

Autoři: Ahmed AL-Saffar Suryanti Awang Wafaa AL-Saiagh a další

Zdroj: Sensors (Basel)
Sensors, Vol 21, Iss 21, p 7306 (2021)
Sensors
Volume 21
Issue 21

Témata: Handwriting, Neural Architecture Search (NAS), configuration search, handwriting recognition, Chemical technology, 0202 electrical engineering, electronic engineering, information engineering, deep learning, TP1-1185, Neural Networks, Computer, 02 engineering and technology, metaheuristics optimization, Article, Algorithms

Popis souboru: application/pdf

Přístupová URL adresa: https://www.mdpi.com/1424-8220/21/21/7306/pdf
https://pubmed.ncbi.nlm.nih.gov/34770612
https://doaj.org/article/a02416b3edd44d208e3a78993310eb03
https://www.mdpi.com/1424-8220/21/21/7306/pdf
https://dblp.uni-trier.de/db/journals/sensors/sensors21.html#Al-SaffarAAAA21
https://www.mdpi.com/1424-8220/21/21/7306
https://doi.org/10.3390/s21217306
https://europepmc.org/article/MED/34770612

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

Optimization Configuration Method for Grid-Side Grid-Forming Energy Storage System Based on Genetic Algorithm.

Autoři: Qi, Yuqian Che, Yanbo Liu, Liangliang a další

Zdroj: Energy Engineering; 2025, Vol. 122 Issue 10, p3999-4017, 19p

Témata: GENETIC algorithms, ENERGY storage, MATHEMATICAL optimization, ECONOMIC efficiency, RENEWABLE energy sources, SMART power grids, MULTI-objective optimization, ELECTRIC power distribution grids

Comparison and Evaluation of Model-Based Optimal Sensor Placement Implementation: A Case Study of a Hybrid Cross-Laminated Timber and Steel Building.

Autoři: Caballero-Russi, David Palacio-Betancur, Alejandro Gutierrez Soto, Mariantonieta

Zdroj: Journal of Structural Design & Construction Practice; Aug2025, Vol. 30 Issue 3, p1-14, 14p

Témata: SENSOR placement, STRUCTURAL health monitoring, LAMINATED wood construction, IRON & steel building, ENGINEERING design, EVALUATION methodology, STRUCTURAL design

Korporace: PENNSYLVANIA State University

Multi-armed bandit algorithm for sequential experiments of molecular properties with dynamic feature selection.

Autoři: Abedin, Md. Menhazul Tabata, Koji Matsumura, Yoshihiro a další

Zdroj: Journal of Chemical Physics; 7/7/2024, Vol. 161 Issue 1, p1-11, 11p

Témata: FEATURE selection, OPTIMIZATION algorithms, PROBLEM-based learning, REINFORCEMENT learning, ALGORITHMS, CHEMICAL yield, ENANTIOMERS

Hierarchical optimal configuration model and algorithm for counterterrorism resource allocation.

Autoři: Teng, Chenmei Xiang, Yin Li, Shanliang a další

Zdroj: Humanities & Social Sciences Communications; 10/24/2025, Vol. 12 Issue 1, p1-14, 14p

Témata: COUNTERTERRORISM, RESOURCE allocation, ALGORITHMS, EMERGENCY management, PUBLIC safety, MULTILEVEL models, COST effectiveness

A High-Precision Short-Term Photovoltaic Power Forecasting Model Based on Multivariate Variational Mode Decomposition and Gated Recurrent Unit-Attention with Crested Porcupine Optimizer-Enhanced Vector Weighted Average Algorithm.

Autoři: Pian, Jinxiang Chen, Xianliang

Zdroj: Sensors (14248220); Oct2025, Vol. 25 Issue 19, p5977, 23p

Témata: PHOTOVOLTAIC power generation, RENEWABLE energy sources, OPTIMIZATION algorithms, ALGORITHMS, MACHINE learning, RECURRENT neural networks, ELECTRIC power consumption forecasting

Benchmark-Driven Configuration of a Parallel Model-Based Optimization Algorithm.

Autoři: Rehbach, Frederik Zaefferer, Martin Fischbach, Andreas a další

Zdroj: IEEE Transactions on Evolutionary Computation; Dec2022, Vol. 26 Issue 6, p1365-1379, 15p

Témata: MATHEMATICAL optimization, PARALLEL algorithms, GAUSSIAN processes, SET functions, GENERATING functions, GAUSSIAN function