Suchergebnisse - approximate statistical (((dynamic OR dynamika) OR dynamik) OR dynamik) programming algorithm~

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

Autoren: Mengmeng Bai Rui Zhu Jianxin Guo et al.

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

Schlagwörter: 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

Zugangs-URL: https://doaj.org/article/1b13aa4558a749f69de123006e39486f

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)

Autoren: 邬伶凤 朱锐 曹九霄 et al.

Quelle: 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

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

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

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

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

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

A segment-wise dynamic programming algorithm for BSDEs.

Autoren: Bender, Christian Meyer, Steffen

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

Schlagwörter: 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.

Autoren: Aghazadeh, Duygu Ertogral, Kadir

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

Schlagwörter: INVENTORY costs, OPERATING costs, DYNAMIC programming, DISTRIBUTION costs, PRODUCT costing

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

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

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

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

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

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

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

Schlagwörter: INTEGER programming, DYNAMIC programming, STOCHASTIC programming, REMANUFACTURING, PRODUCTION planning, UNCERTAIN systems

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

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

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

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

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

Autoren: Sharma, Nand Millstein, Joshua

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

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

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

Autoren: Zhao, Lin Fu, Hao Su, Mu

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

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

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

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

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

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

Joint production and energy supply planning of an industrial microgrid.

Autoren: Fornier, Zoe Grosso, Dorian Leclere, Vincent

Quelle: Energy Systems; Nov2025, Vol. 16 Issue 4, p1461-1493, 33p

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

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

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

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

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

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

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

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

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

Autoren: Deng, Jiawen Zhang, Jihui Yang, Shengxiang

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

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

A Directional Wave Spectrum Inversion Algorithm with HF Surface Wave Radar Network.

Autoren: Mo, Fuqi Wu, Xiongbin Li, Xiaoyan et al.

Quelle: Remote Sensing; Aug2025, Vol. 7 Issue 15, p2573, 25p

Schlagwörter: SIGNAL-to-noise ratio, QUADRATIC programming, MATHEMATICAL regularization, MIMO systems, DOPPLER radar, FIELD research, FREQUENCY spectra

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

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

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

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

Metalearning of time series: an approximate dynamic programming approach.

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

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

Schlagwörter: DYNAMIC programming, TIME series analysis, FORECASTING

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

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

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

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

Guidance and Control Architecture for Rendezvous and Approach to a Non-Cooperative Tumbling Target.

Autoren: Madonna, Agostino Napolano, Giuseppe Nocerino, Alessia et al.

Quelle: Aerospace (MDPI Publishing); Aug2025, Vol. 12 Issue 8, p708, 40p

Schlagwörter: ORBITAL rendezvous (Space flight), TRAJECTORY optimization, ROTATIONAL motion, COMPUTER simulation, NAVIGATION, ROBUST control