Výsledky vyhľadávania - approximate (statistical OR statistika) ((dynamic OR dynamika) OR dynamika) programming algorithm*

Simulation Analysis for UAV Search Algorithm Design Using Approximate Dynamic Programming

Autori: Flint, Matthew Fernandez, Emmanuel Kelton, W. David

Zdroj: Military Operations Research, 2009 Jan 01. 14(2), 41-50.

Prístupová URL adresa: https://www.jstor.org/stable/43941127

Maximizing Net Present Value for Resource Constraint Project Scheduling Problems with Payments at Event Occurrences Using Approximate Dynamic Programming

Autori: Tshewang Phuntsho Tad Gonsalves

Zdroj: Algorithms, Vol 17, Iss 5, p 180 (2024)

Predmety: approximate dynamic programming, net present value, discounted cash flows, Discrete Cuckoo Search, Estimation of Distribution Algorithm, Ant Colony Optimization, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95

Relation: https://www.mdpi.com/1999-4893/17/5/180; https://doaj.org/toc/1999-4893; https://doaj.org/article/f1f51b9a3fe846d5a9c6f6a57971f0c7

Dostupnosť: https://doi.org/10.3390/a17050180
https://doaj.org/article/f1f51b9a3fe846d5a9c6f6a57971f0c7

The dynamic programming algorithm for management of real-time aircraft assignments

Autori: Korotkova, Yu L Mezentsev, Yu A

Zdroj: Journal of Physics: Conference Series ; volume 1333, issue 3, page 032040 ; ISSN 1742-6588 1742-6596

Dostupnosť: https://doi.org/10.1088/1742-6596/1333/3/032040
https://iopscience.iop.org/article/10.1088/1742-6596/1333/3/032040/pdf
https://iopscience.iop.org/article/10.1088/1742-6596/1333/3/032040

Energy-Efficient Transmission Strategy for Delay Tolerable Services in NOMA-Based Downlink With Two Users

Autori: Mengmeng Bai Rui Zhu Jianxin Guo a ďalší

Zdroj: IEEE Access, Vol 11, Pp 113227-113243 (2023)

Predmety: Energy efficiency, delay tolerable, deep deterministic policy gradient, approximate statistical dynamic programming algorithm, proximal policy optimization, Electrical engineering. Electronics. Nuclear engineering, 7. Clean energy, TK1-9971

Prístupová URL adresa: https://doaj.org/article/1b13aa4558a749f69de123006e39486f

Design of Morlet wavelet neural networks integrated with sequential quadratic programming to analyze the dynamics of Ebola virus disease

Autori: Asifa Ashraf Abaid Ur Rehman Virk Umar Ishtiaq a ďalší

Zdroj: Results in Engineering, Vol 26, Iss, Pp 105396-(2025)

Predmety: Technology, Genetic algorithm, Statistical analysis, Morlet wavelet neural network, Sequential quadratic programming, Ebola virus disease

Prístupová URL adresa: https://doaj.org/article/a77053c758f64e9e93a77ba287a5013d

Integrated intelligent neuro-evolutionary computing approach to study SEIRC model representing campylobacteriosis transmission dynamics

Autori: Muhammad Shoaib Saba Kainat Areej Abdullah Alabduljabbar a ďalší

Zdroj: Applied Mathematics in Science and Engineering, Vol 33, Iss 1 (2025)

Predmety: Campylobacteriosis transmission, artificial neural networks, log-sigmoid, genetic algorithm, sequential quadratic programming, 34A34, Mathematics, QA1-939, Engineering (General). Civil engineering (General), TA1-2040

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2769-0911

Prístupová URL adresa: https://doaj.org/article/a09fabef352f4655a0fb99db548b354a

Dynamic frequent subgraph mining algorithms over evolving graphs: a survey

Autori: Belgin Ergenç Bostanoğlu Nourhan Abuzayed

Zdroj: PeerJ Computer Science, Vol 10, p e2361 (2024)

Predmety: Frequent subgraph mining, Exact frequent subgraph mining, Approximate frequent subgraph mining, Evolving graph, Dynamic graph, Incremental subgraph mining, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://peerj.com/articles/cs-2361.pdf; https://peerj.com/articles/cs-2361/; https://doaj.org/toc/2376-5992

Prístupová URL adresa: https://doaj.org/article/adf9017876054ccaaa8f05d3589299e1

Consensus-driven feature selection for transparent and robust loan default prediction.

Autori: Abbas G Ying Z Ayoubi M

Zdroj: Scientific reports [Sci Rep] 2025 Dec 08. Date of Electronic Publication: 2025 Dec 08.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Topology and Energy Aware Approximate Algorithm for QoS-Based Resource Slicing in 5G Core Networks

Autori: Ehsan Sargolzaei Mehdi Rasti Siavash Khorsandi

Zdroj: IEEE Access, Vol 13, Pp 176885-176900 (2025)

Predmety: Network function virtualization, network slicing, resource assignment, virtual network functions, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11187371/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/20861dda95fc4f699abf07da4fc5afa1

时延可容忍业务中的高能效信息传输策略研究. (Chinese)

Alternate Title: Research on energy-efficient information transmission strategy based on latency-tolerant services. (English)

Autori: 邬伶凤 朱锐 曹九霄 a ďalší

Zdroj: Journal of Chongqing University of Posts & Telecommunications (Natural Science Edition) / Chongqing Youdian Daxue Xuebao (Ziran Kexue Ban); Jun2025, Vol. 37 Issue 3, p333-345, 13p

Predmety: DEEP reinforcement learning, REINFORCEMENT learning, GREEDY algorithms, POWER transmission, POWER resources

Energy-efficient power control strategy of the delay tolerable service based on the reinforcement learning.

Autori: Bai, Mengmeng Zhu, Rui Guo, Jianxin a ďalší

Zdroj: Computer Communications. Oct2023, Vol. 210, p102-115. 14p.

Predmety: *DYNAMIC programming, *ENERGY consumption, DEEP reinforcement learning, GREEDY algorithms, REINFORCEMENT learning, POWER transmission

Advanced Linearization Methods for Efficient and Accurate Compositional Reservoir Simulations.

Autori: Asif, Ali Abd, Abdul Salam Abushaikha, Ahmad

Zdroj: Computation; Aug2025, Vol. 13 Issue 8, p191, 24p

Predmety: MULTIPHASE flow, NONLINEAR equations, PARALLEL programming, LINEAR statistical models, CARBON dioxide injection, FLOW simulations, PETROLEUM production, COMPARATIVE studies

A fully adaptive framework for continuous-state stochastic dynamic programming.

Autori: Fan, Huiyuan Tarun, Prashant K. Viswanatha, Amith a ďalší

Zdroj: Computers & Operations Research. Nov2025, Vol. 183, pN.PAG-N.PAG. 1p.

Predmety: *DYNAMIC programming, *STATISTICS, STATISTICAL models, SPACE exploration, COMPUTER engineering

Approximate dynamic programming methods in Bayesian preference elicitation.

Autori: Fisher, William Zhang, Qiong Song, Yongjia

Zdroj: Quality Engineering. 2025, Vol. 37 Issue 3, p475-492. 18p.

Predmety: *DECISION making, *QUESTIONNAIRES, *UTILITY functions, *SIMULATION methods & models, *BAYESIAN analysis, GREEDY algorithms, EXPERIMENTAL design

Efficient algorithms of pathwise dynamic programming for decision optimization in mining operations.

Autori: Hinz, Juri Tarnopolskaya, Tanya Yee, Jeremy

Zdroj: Annals of Operations Research. Mar2020, Vol. 286 Issue 1/2, p583-615. 33p.

Predmety: *DYNAMIC programming, *STATISTICAL decision making, *ALGORITHMS, *MARKOV processes, NATURAL resources

Deep Neural Networks Algorithms for Stochastic Control Problems on Finite Horizon: Convergence Analysis

Autori: Côme Huré Huyên Pham Achref Bachouch a ďalší

Prispievatelia: Côme Huré Huyên Pham Achref Bachouch a ďalší

Zdroj: SIAM Journal on Numerical Analysis. 59:525-557

Predmety: dynamic programming, FOS: Computer and information sciences, 90C39, [MATH.MATH-PR] Mathematics [math]/Probability [math.PR], Probability (math.PR), statistical risk AMS subject classifications. 65C05, Deep learning, [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], Machine Learning (stat.ML), performance iteration, 93E35, 01 natural sciences, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], convergence analysis, Statistics - Machine Learning, Optimization and Control (math.OC), FOS: Mathematics, regress now, quantization, 0101 mathematics, Mathematics - Optimization and Control, 65C05, 90C39, 93E35, 68T07, Mathematics - Probability

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/pdf/1812.04300
http://arxiv.org/abs/1812.04300
https://arxiv.org/pdf/1812.04300.pdf
https://ui.adsabs.harvard.edu/abs/2018arXiv181204300H/abstract
http://ui.adsabs.harvard.edu/abs/2018arXiv181204300H/abstract
https://arxiv.org/abs/1812.04300
https://dblp.uni-trier.de/db/journals/siamnum/siamnum59.html#HurePBL21
https://hal.archives-ouvertes.fr/hal-01949213/document
https://hal.archives-ouvertes.fr/hal-01949213v2
https://epubs.siam.org/doi/abs/10.1137/20M1316640
https://hal.science/hal-01949213v2
https://hal.science/hal-01949213v2/document
https://doi.org/10.1137/20m1316640

Enhancing Hydrological Model Performance Through Clustering of Dynamic Catchment Characteristics and Parameter Discretization.

Autori: Wang, Xiao Lan, Tian Zhang, Hongbo a ďalší

Zdroj: Water Resources Research; Oct2025, Vol. 61 Issue 10, p1-28, 28p

Predmety: HYDROLOGIC models, DISCRETIZATION methods, WATERSHEDS, RUNOFF models, CALIBRATION, DATA mining, WATER management

EEMtoolbox: A user‐friendly R package for flexible ensemble ecosystem modelling

Autori: Luz Valerie Pascal Sarah A. Vollert Malyon D. Bimler a ďalší

Zdroj: Methods in Ecology and Evolution, Vol 16, Iss 5, Pp 921-929 (2025)

Predmety: approximate Bayesian computation, ensemble ecosystem modelling, population dynamics, R package, sequential Monte Carlo, Ecology, QH540-549.5, Evolution, QH359-425

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2041-210X

Prístupová URL adresa: https://doaj.org/article/1e35068d56cd433ca6557213bee50f0a

Integrated Scheduling of Stacker and Reclaimer in Dry Bulk Terminals: A Hybrid Genetic Algorithm.

Autori: Torbi, Imane Belassiria, Imad Mazouzi, Mohamed a ďalší

Zdroj: Computation; Mar2025, Vol. 13 Issue 3, p74, 35p

Predmety: LINEAR programming, MATHEMATICAL optimization, PRODUCTION scheduling, MATHEMATICAL models, COMPUTATIONAL complexity, TABU search algorithm

Integrated day-ahead and intraday self-schedule bidding for energy storage systems using approximate dynamic programming.

Autori: Finnah, Benedikt Gönsch, Jochen Ziel, Florian

Zdroj: European Journal of Operational Research. Sep2022, Vol. 301 Issue 2, p726-746. 21p.

Predmety: *DYNAMIC programming, *STATISTICAL decision making, *NUCLEAR power plants, *ELECTRICITY pricing, *MARKET prices, *BATTERY storage plants, ENERGY storage

Geografický termín: GERMANY