Výsledky vyhledávání - Sequential 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

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

Sequential Multi-Agent Dynamic Algorithm Configuration

Autoři: Lu, Chen Xue, Ke Yuan, Lei a další

Témata: Machine Learning, Neural and Evolutionary Computing

Relation: http://arxiv.org/abs/2510.23535

Dostupnost: http://arxiv.org/abs/2510.23535

Automatic Configuration of Genetic Algorithm for the Optimization of Electricity Market Participation Using Sequential Model Algorithm Configuration

Autoři: Vitor Oliveira Tiago Pinto Ricardo Faia a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783031164736

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

Sequential vs. Integrated Algorithm Selection and Configuration: A Case Study for the Modular CMA-ES

Autoři: Vermetten, Diederick Wang, Hao Doerr, Carola a další

Témata: Computer Science - Neural and Evolutionary Computing, text

URL: http://arxiv.org/abs/1912.05899

Sequential vs. Integrated Algorithm Selection and Configuration: A Case Study for the Modular CMA-ES

Autoři: Vermetten, D.L. Wang, H. Doerr, C. a další

Témata: FOS: Computer and information sciences, 0202 electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, 0102 computer and information sciences, 02 engineering and technology, Neural and Evolutionary Computing (cs.NE), 01 natural sciences

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/1912.05899
https://hdl.handle.net/1887/85704

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

Fast sequential and parallel algorithms for label selection to obtain space efficient implementations in a software configuration management system

Autoři: J. Wogulis C. Shipley R. Greenlaw

Zdroj: Proceedings International Conference on Parallel Computing in Electrical Engineering. PARELEC 2000. :43-48

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/parelec/parelec2000.html#GreenlawSW00
https://www.computer.org/csdl/proceedings-article/parelec/2000/07590043/12OmNzBOi8a

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

High-resolution 2D-DoA sequential algorithm of azimuth and elevation estimation in automotive distributed system of coherent MIMO radars

Autoři: I. V. Artyukhin

Zdroj: Российский технологический журнал, Vol 12, Iss 3, Pp 65-77 (2024)

Témata: Information theory, coherent signal processing, 0202 electrical engineering, electronic engineering, information engineering, high-resolution algorithms, automotive distributed radars, 02 engineering and technology, 2d capon, Q350-390

Přístupová URL adresa: https://doaj.org/article/59d42a38db244ddc99ac60e96a9e96ce

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

Offline Metaheuristic Parameterization using Sequential Model Algorithm Configuration

Autoři: Vitor Oliveira Tiago Pinto Ruben Romero

Relation: https://zenodo.org/records/6586885; oai:zenodo.org:6586885; https://doi.org/10.5281/zenodo.6586885

Dostupnost: https://doi.org/10.5281/zenodo.6586885
https://zenodo.org/records/6586885

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

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

Sequential Implementation of Stepwise Procedures for Identifying the Maximum Tolerated Dose

Autoři: Cheung, Ying Kuen

Zdroj: Journal of the American Statistical Association, 2007 Dec 01. 102(480), 1448-1461.

Přístupová URL adresa: https://www.jstor.org/stable/27639994

The sequential design optimization of building performance

Autoři: Talami, Riccardo

Témata: Building performance, Design optimization, Building Performance Simulation (BPS), Sequential Approach, Computational Approach, Genetic Algorithm Heuristic, robustness analysis, Multi-Objective Optimization

Přístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.869280

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

Dynamic Algorithm Configuration for Machine Scheduling Using Deep Reinforcement Learning

Autoři: Reijnen, Robbert Victor Jacobus

Zdroj: Reijnen, R V J 2025, 'Dynamic Algorithm Configuration for Machine Scheduling Using Deep Reinforcement Learning', Doctor of Philosophy, Industrial Engineering and Innovation Sciences, Eindhoven.

Popis souboru: application/pdf

Relation: info:eu-repo/semantics/altIdentifier/isbn/978-90-386-6486-6

Dostupnost: https://research.tue.nl/en/publications/836f108e-28dc-4b1b-b7b9-1ad6bc18da52
https://pure.tue.nl/ws/files/367900792/20251013_Reijnen_hf.pdf

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