Search Results - approximate (statistik OR statistical) ((dynamic OR dynamik) OR dynamik) programming algorithm*

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

Authors: Phuntsho, Tshewang Gonsalves, Tad

Source: Algorithms. May2024, Vol. 17 Issue 5, p180. 28p.

Subject Terms: *NET present value, *DYNAMIC programming, *DISCOUNTED cash flow, *ANT algorithms, *DISTRIBUTION (Probability theory), *METAHEURISTIC algorithms

Solving the military medical evacuation dispatching, preemptive rerouting, redeploying, and delivering problem via tree-based machine learning and approximate dynamic programming approaches.

Authors: Frial, Virbon B. Robbins, Matthew J. Jenkins, Phillip R.

Source: Expert Systems with Applications. Nov2025, Vol. 292, pN.PAG-N.PAG. 1p.

Subject Terms: *DYNAMIC programming, *MARKOV processes, *RANDOM forest algorithms, *TRANSPORTATION of patients, *ROUTING algorithms, *ENSEMBLE learning, *MACHINE learning, UNITED States armed forces

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

An approximate dynamic programming approach to project scheduling with uncertain resource availabilities.

Authors: Xie, Fang Li, Haitao Xu, Zhe

Source: Applied Mathematical Modelling. Sep2021, Vol. 97, p226-243. 18p.

Subject Terms: *DYNAMIC programming, *STATISTICAL decision making, *MARKOV processes, *SCHEDULING, *HEURISTIC algorithms

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

Authors: Hinz, Juri Tarnopolskaya, Tanya Yee, Jeremy

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

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

EFFICIENT NEURAL NETWORK APPROACHES FOR CONDITIONAL OPTIMAL TRANSPORT WITH APPLICATIONS IN BAYESIAN INFERENCE.

Authors: ZHEYU OLIVER WANG BAPTISTA, RICARDO MARZOUK, YOUSSEF et al.

Source: SIAM Journal on Scientific Computing. 2025, Vol. 47 Issue 4, pC979-C1005. 27p.

Subject Terms: *ARTIFICIAL neural networks, *BAYESIAN field theory, *DYNAMIC programming, *STATISTICAL sampling, *MATHEMATICAL optimization, *NUMERICAL analysis, *MAXIMUM likelihood statistics

Simulation Analysis for UAV Search Algorithm Design Using Approximate Dynamic Programming

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

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

Access URL: https://www.jstor.org/stable/43941127

Error analysis for approximate CVaR-optimal control with a maximum cost.

Authors: Arsenault, Evan Chapman, Margaret P

Source: IMA Journal of Mathematical Control & Information. Jun2025, Vol. 42 Issue 2, p1-36. 36p.

Subject Terms: *VALUE at risk, *OPTIMAL control theory, *ERROR analysis in mathematics, *INTERPOLATION, *STATISTICAL sampling, *MANAGEMENT science, *HILBERT space, *DYNAMIC programming

Adaptive dynamic programming-based hierarchical decision-making of non-affine systems.

Authors: Lin, Danyu Xue, Shan Liu, Derong et al.

Source: Neural Networks. Oct2023, Vol. 167, p331-341. 11p.

Subject Terms: *DYNAMIC programming, *STATISTICAL decision making, *DECISION making, *SYSTEM dynamics, *MULTIPLAYER games

An approximate dynamic programming approach for collaborative caching.

Authors: Yang, Xinan Thomos, Nikolaos

Source: Engineering Optimization. Jun2021, Vol. 53 Issue 6, p1005-1023. 19p.

Subject Terms: *DYNAMIC programming, *STATISTICAL decision making, *CACHE memory, *MATHEMATICAL optimization, *MARKOV processes, *NP-hard problems

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

Resource-constrained project scheduling problem with hybrid energy and dynamic energy prices.

Authors: Chen, Liangwei Zhang, Jingwen Chen, Zhi et al.

Source: International Journal of Production Research; Dec2025, Vol. 63 Issue 23, p9155-9180, 26p

Subject Terms: RENEWABLE energy sources, TIME-based pricing, MIXED integer linear programming, SHIFT systems, OPTIMIZATION algorithms, ENERGY industries, PRODUCTION scheduling, ENERGY consumption

The Kikuchi Hierarchy and Tensor PCA.

Authors: Wein, Alexander El Alaoui, Ahmed Moore, Cristopher

Source: Journal of the ACM; Oct2025, Vol. 72 Issue 5, p1-40, 40p

Subject Terms: STATISTICAL physics, SUM of squares, ALGORITHMS, BAYESIAN analysis, MESSAGE passing (Computer science), PRINCIPAL components analysis

Hp-Adaptive Dynamic Trust Region Sequential Convex Programming: An Enhanced Strategy for Trajectory Optimization.

Authors: Yang, Zhengpeng An, Zhichao Ming, Chao et al.

Source: Symmetry (20738994); Oct2025, Vol. 17 Issue 10, p1607, 24p

Subject Terms: TRAJECTORY optimization, HYPERSONIC planes, STATISTICAL accuracy, POLYNOMIAL approximation, MATHEMATICAL optimization, DYNAMIC programming, CONVEX programming

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

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

Advanced Linearization Methods for Efficient and Accurate Compositional Reservoir Simulations.

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

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

Subject Terms: 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.

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

Research on energy-saving adaptive optimization of hybrid electric vehicle based on improved dynamic programming and control rule extraction.

Authors: Zhao, Ruijie Tang, Lichun

Source: Scientific Reports; 11/24/2025, Vol. 15 Issue 1, p1-17, 17p

Subject Terms: DYNAMIC programming, HYBRID electric vehicles, FUEL industry, REAL-time computing, ADAPTIVE control systems, OPERATIONS research, RESOURCE allocation, ENERGY conservation

Approximate dynamic programming methods in Bayesian preference elicitation.

Authors: Fisher, William Zhang, Qiong Song, Yongjia

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

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