Towards Internet QoS Provisioning Based on Generic Distributed QoS Adaptive Routing Engine by Amira Y. Haikal, M. Badawy, Hesham A. Ali

“…The main objective of this paper is to (i) provide a general configuration guideline for service differentiation, (ii) formalize the theoretical properties of different QoS routing algorithms and then introduce a QoS routing algorithm (QOPRA) based on dynamic programming technique, and (iii) propose QoS multipath forwarding (QMPF) model for paths diversity exploitation. …”
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Balancing Long Lifetime and Satisfying Fairness in WBAN Using a Constrained Markov Decision Process by Yingqi Yin, Fengye Hu, Ling Cen, Yu Du, Lu Wang

“…The optimal lifetime and optimal policy are obtained by Bellman equation in dynamic programming. The proposed algorithm defines the limiting performance in WBAN lifetime under different degrees of fairness constraints. …”
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Optimal Electric Bus Scheduling under Travel Time Uncertainty: A Robust Model and Solution Method by Mengyan Jiang, Yi Zhang, Yi Zhang

“…The model is developed based on the dynamic programming equations that we formulated for trip chain robustness checking. …”
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A Two-Level Model for Traffic Signal Timing and Trajectories Planning of Multiple CAVs in a Random Environment by Yangsheng Jiang, Bin Zhao, Meng Liu, Zhihong Yao

“…The latter designs multiple CAVs trajectories considering average gasoline consumption. The dynamic programming (DP) and the General Pseudospectral Optimal Control Software (GPOPS) are applied to solve the two-level optimization problem. …”
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A Novel User Selection Strategy with Incentive Mechanism Based on Time Window in Mobile Crowdsensing by Xuemei Sun, Xiaorong Yang, Caiyun Wang, Jiaxin Wang

“…In the PS-TWDT, we design a participant selection method based on dynamic programming algorithm. The goal is to maximize the data benefit while the sensing time of the selected participants covers the task time period. …”
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Nonlinear Stochastic Optimal Control Using Piezoelectric Stack Inertial Actuator by Q. F. Lü, X. F. Wang, K. Lu, R. H. Huan

“…The optimal control law is determined by establishing and solving the dynamic programming equation. The proposed control law is analytical and can be fully executed by a piezoelectric stack inertial actuator. …”
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Deployment optimization for a long-distance wireless backhaul network in industrial cyber physical systems by Jintao Wang, Xi Jin, Peng Zeng, Ming Wan, Changqing Xia

“…For small networks, we propose a hierarchical traversal method to obtain the optimal solution, whereas for a large network, we used a hierarchical heuristic method to obtain an approximate solution, and for extremely large networks, we used a parallel interactive local search algorithm based on dynamic programming. Then, if the original network layout cannot meet the transmission demands due to traffic bursts, we propose a network bandwidth recovery method based on the Steiner tree to recover the network’s performance. …”
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Proposed Method for Note Detection and Automatic Identification of the Melody Models (Gusheh) in Iranian Traditional Music with Micro Approach by Amir Vafaeian, Keivan Borna, Hamed Sajedi, Dariush Alimohammadi, Pouya Sarai

“…Finally, the optimization problem is solved via greedy and dynamic programming approaches and while selecting the best sentences, the final summary is generated. …”
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Comparison of different models for energy management strategy design of a parallel hybrid electric vehicle: Impact of the rotating masses by Abdoulaye Pam, Alain Bouscayrol, Philippe Fiani, Fabien Faval

“…Moreover, optimal algorithms such as dynamic programming (DP) are used off‐line to define a benchmark for real‐time EMSs. …”
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Towards Fault Detection in Industrial Equipment through Energy Consumption Analysis: Integrating Machine Learning and Statistical Methods by Baddou Nada, Dadda Afaf, Rzine Bouchra, Hmamed Hala

“…The second part of the model, which focuses on detecting change points in consumption patterns, was evaluated by testing several cost functions combined with binary segmentation and dynamic programming. Applied to a real-world case, it successfully detected a change point two months before equipment failure, offering the potential to reduce energy consumption by 27,052 kWh. …”
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Air Traffic Efficiency Analysis of Airliner Scheduled Flights Using Collaborative Actions for Renovation of Air Traffic Systems Open Data by Akinori Harada, Tooru Ezaki, Tomoaki Wakayama, Koichi Oka

“…Each reconstructed trajectory is optimized in terms of flight fuel consumption and flight time with an assumed cost index (CI). Dynamic programming is used as the trajectory optimization method. …”
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The Value of Preemptive Pick-Up Services in Dynamic Vehicle Routing for Last-Mile Delivery: Space-Time Network-Based Formulation and Solution Algorithms by Weiran Meng, Lingyun Meng, Guoshuai Han, Xiaotian Zhuang, Lu Carol Tong, Shengnan Wu

“…To provide a fast value approximation, we present a solution framework deploying the augmented Lagrangian relaxation approach with embedded dynamic programming algorithms. This framework jointly integrates the processes of updating request information and obtaining optimal routes. …”
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Optimization of spline parameters in approximation of multivalued functions by D. A. Karpov, V. I. Struchenkov

“…The first stage of this work consisted in determining the number of elements of the approximating spline using dynamic programming. In the present paper, the next stage of solving this problem is carried out.Methods. …”
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Multi-Temporal Energy Management Strategy for Fuel Cell Ships Considering Power Source Lifespan Decay Synergy by Xingwei Zhou, Xiangguo Yang, Mengni Zhou, Lin Liu, Song Niu, Chaobin Zhou, Yufan Wang

“…The overall performance of this strategy approaches the global optimal solution obtained through Dynamic Programming, comprehensively validating its superiority in simultaneously optimizing system economics and durability.…”
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Multilayer entropy-weighted TOPSIS method and its decision-making in ecological operation during the subsidence period of the Three Gorges Reservoir by Ai Xueshan, Yu Yangxin, Liang Zhiming, Shi Xuanyu, Cao Rui, Zhang Xiaoke

“…A multi-objective optimal reservoir scheduling model was constructed to coordinate the spawning flow demand of " Four Major Chinese Carps"; The model takes the maximum power generation and the maximum membership degree of downstream river ecological water demand as the objective functions, and uses the dynamic programming multi-objective solution algorithm based on penalty factors to solve the problem, and obtains the non-inferior solution set in each scenario. …”
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Q-learning global path planning for UAV navigation with pondered priorities by Kevin B. de Carvalho, Hiago de O.B. Batista, Leonardo A. Fagundes-Junior, Iure Rosa L. de Oliveira, Alexandre S. Brandão

“…Traditional techniques, including geometric and dynamic programming, have historically been employed to address this challenge. …”
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Enhanced vehicle routing for medical waste management via hybrid deep reinforcement learning and optimization algorithms by Norhan Khallaf, Osama Abd-El Rouf, Abeer D. Algarni, Mohy Hadhoud, Ahmed Kafafy

“…This led to the application of Fractional Knapsack dynamic programming with Deep Q Network to maximize capacity utilization while achieving optimal routes. …”
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Prior Knowledge-Based Two-Layer Energy Management Strategy for Fuel Cell Ship Hybrid Power System by Lin Liu, Xiangguo Yang, Xin Li, Xingwei Zhou, Yufan Wang, Telu Tang, Qijia Song, Yifan Liu

“…In the first layer of the EMS, which operates offline, dynamic programming (DP) and low-pass filtering (LPF) are used to allocate power optimally for different typical ship operating conditions. …”
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Business targeting in Iran: a hybrid simulation-optimization approach by amir mansour tehranchian, Sogand Hoseinnia Chafjiri

“…For this purpose, a policymaker's welfare loss function of linear quadratic and inter-period type including the deviation of inflation rate and economic growth from their targeted and approved values ​​in the country's sixth plan of economic, social and cultural development, with regard to the system of dynamic and non-linear equations of Keynesian macrometrics, is minimized by stochastic dynamic programming method. The system of dynamic and stochastic macrometric equations includes behavioral equations and defining equations. …”
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On a system of Hamilton-Jacobi-Bellman inequalities associated to a minimax problem with additive final cost by Silvia C. Di Marco, Roberto L. V. González

“…After introducing an auxiliary problem, we analyze the dynamical programming principle (DPP) and we present a Hamilton-Jacobi-Bellman (HJB) system. …”
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