Search Results - approximate statistical (dynamic OR dynamika) programming algorithm

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

Authors: Mengmeng Bai Rui Zhu Jianxin Guo et al.

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

Subject Terms: 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

Access URL: https://doaj.org/article/1b13aa4558a749f69de123006e39486f

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

Authors: Bai, Mengmeng Zhu, Rui Guo, Jianxin et al.

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

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

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

Authors: Fan, Huiyuan Tarun, Prashant K. Viswanatha, Amith et al.

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

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

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

Authors: Korotkova, Yu L Mezentsev, Yu A

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

Availability: 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

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)

Authors: 邬伶凤 朱锐 曹九霄 et al.

Source: 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

Subject Terms: DEEP reinforcement learning, REINFORCEMENT learning, GREEDY algorithms, POWER transmission, POWER resources

Process mining with event attributes and transition features for care pathway modelling.

Authors: Rifki, Omar Peng, Zhihao Perrier, Lionel et al.

Source: International Journal of Production Research; May2025, Vol. 63 Issue 10, p3684-3708, 25p

Subject Terms: HEURISTIC algorithms, PROCESS mining, DYNAMIC programming, TUMOR surgery, CANCER treatment

A segment-wise dynamic programming algorithm for BSDEs.

Authors: Bender, Christian Meyer, Steffen

Source: Probability, Uncertainty & Quantitative Risk; Mar2025, Vol. 10 Issue 1, p1-32, 32p

Subject Terms: MONTE Carlo method, DYNAMIC programming, STOCHASTIC differential equations, CONDITIONAL expectations, ALGORITHMS

A fix and optimize method based approximate dynamic programming approach for the strategic fleet sizing and delivery planning problem.

Authors: Aghazadeh, Duygu Ertogral, Kadir

Source: Central European Journal of Operations Research; Mar2025, Vol. 33 Issue 1, p91-119, 29p

Subject Terms: INVENTORY costs, OPERATING costs, DYNAMIC programming, DISTRIBUTION costs, PRODUCT costing

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

Authors: Hinz, J Tarnopolskaya, T Yee, J

Index Terms: 01 Mathematical Sciences, 08 Information and Computing Sciences, 15 Commerce, Management, Tourism and Services, Journal Article

URL: http://hdl.handle.net/10453/142926
http://purl.org/au-research/grants/arc/DP130103315
Annals of Operations Research
10.1007/s10479-018-2910-3
http://purl.org/au-research/grants/arc/DP130103315

A stochastic dual dynamic integer programming based approach for remanufacturing planning under uncertainty.

Authors: Quezada, Franco Gicquel, Céline Kedad-Sidhoum, Safia

Source: International Journal of Production Research; Sep2023, Vol. 61 Issue 17, p5992-6012, 21p, 5 Charts, 2 Graphs

Subject Terms: INTEGER programming, DYNAMIC programming, STOCHASTIC programming, REMANUFACTURING, PRODUCTION planning, UNCERTAIN systems

CausNet-partial: 'Partial Generational Orderings' based search for optimal sparse Bayesian networks via dynamic programming with parent set constraints.

Authors: Sharma, Nand Millstein, Joshua

Source: PLoS ONE; 6/10/2025, Vol. 20 Issue 6, p1-21, 21p

Subject Terms: BAYESIAN analysis, DYNAMIC programming, CANCER genes, SURVIVAL rate, PERSONAL computers

Research on ship trajectory compression based on a Dynamic Programming algorithm.

Authors: Hu, Yinjie Qi, Le Ji, Yuanyuan et al.

Source: Journal of Navigation; May2024, Vol. 77 Issue 3, p376-394, 19p

Subject Terms: DATA compression, DYNAMIC programming, NAVIGATION, AUTOMATIC identification, TRAJECTORIES (Mechanics), SHIP maneuverability

Optimal Energy-Aware Scheduling of Heterogeneous Jobs with Monotonically Increasing Slot Costs.

Authors: Zhao, Lin Fu, Hao Su, Mu

Source: Symmetry (20738994); Jul2025, Vol. 17 Issue 7, p980, 20p

Subject Terms: ASSIGNMENT problems (Programming), DYNAMIC programming, MANUFACTURING processes, ENERGY industries, COMPUTER systems

A Dynamic Programming Algorithm for Finding an Optimal Sequence of Informative Measurements.

Authors: Loxley, Peter N. Cheung, Ka-Wai

Source: Entropy; Feb2023, Vol. 25 Issue 2, p251, 25p

Subject Terms: DYNAMIC programming, GAUSSIAN processes, ALGORITHMS, MARKOV processes, AUTONOMOUS robots, REINFORCEMENT learning

Metalearning of time series: an approximate dynamic programming approach.

Authors: Collado, Ricardo A. Creamer, Germán G.

Source: Quantitative Finance; Apr2023, Vol. 23 Issue 4, p539-551, 13p

Subject Terms: DYNAMIC programming, TIME series analysis, FORECASTING

DDPG-Based Convex Programming Algorithm for the Midcourse Guidance Trajectory of Interceptor.

Authors: Li, Wan-Li Li, Jiong Ye, Ji-Kun et al.

Source: Aerospace (MDPI Publishing); Apr2024, Vol. 11 Issue 4, p314, 19p

Subject Terms: REINFORCEMENT learning, DEEP reinforcement learning, MACHINE learning, NONCONVEX programming, CONVEX programming, ALGORITHMS, APPROXIMATION error

A Nonconvex Regularization Scheme for the Stochastic Dual Dynamic Programming Algorithm.

Authors: Bhattacharya, Arnab Kharoufeh, Jeffrey P. Zeng, Bo

Source: INFORMS Journal on Computing; Sep/Oct2023, Vol. 35 Issue 5, p1161-1178, 18p

Subject Terms: DYNAMIC programming, STOCHASTIC programming, DATA libraries, ALGORITHMS, CONCAVE functions

Data-driven modelling, analysis and improvement of multistage production systems with predictive maintenance and product quality.

Authors: Cui, Peng-Hao Wang, Jun-Qiang Li, Yang

Source: International Journal of Production Research; Nov2022, Vol. 60 Issue 22, p6848-6865, 18p, 4 Diagrams, 8 Charts, 3 Graphs

Subject Terms: PRODUCT quality, TECHNOLOGICAL innovations, PRODUCTION losses, SYSTEM failures, BOTTLENECKS (Manufacturing), DYNAMIC programming, MAINTENANCE

A hybrid genetic programming algorithm for the distributed assembly scheduling problems with transportation and sequence-dependent setup times.

Authors: Deng, Jiawen Zhang, Jihui Yang, Shengxiang

Source: Engineering Optimization; Mar2025, Vol. 57 Issue 3, p786-812, 27p

Subject Terms: GENETIC programming, FLOW shop scheduling, SIMULATED annealing, PRODUCTION scheduling, NEIGHBORHOODS, SETUP time

DP-ID: Interleaving and Denoising to Improve the Quality of DNA Storage Image.

Authors: Xu, Qi Ma, Yitong Lu, Zuhong et al.

Source: Interdisciplinary Sciences: Computational Life Sciences; Jun2025, Vol. 17 Issue 2, p306-320, 15p

Subject Terms: DATA warehousing, ARTIFICIAL intelligence, DYNAMIC programming, ERROR rates, IMAGE processing