Research on the wealth management fees of defined contribution pensions during the pre-retirement stage by Zongqi Sun, Peng Yang, Ying Wang, Jing Lu

“…Then, the Hamilton-Jacobi-Bellman (HJB) equation was formulated through the dynamic programming approach, and both the optimal investment strategy and minimum loss function were determined using calculus methods. …”
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Analysis of Average Shortest-Path Length of Scale-Free Network by Guoyong Mao, Ning Zhang

“…In order to solve the load-balancing problem for coarse-grained parallelization, the relationship between the computing time of a single-source shortest-path length of node and the features of node is studied. We present a dynamic programming model using the average outdegree of neighboring nodes of different levels as the variable and the minimum time difference as the target. …”
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Characterization of a Cournot–Nash Equilibrium for a Fishery Model with Fuzzy Utilities by R. Israel Ortega-Gutiérrez, Raúl Montes-de-Oca, Hugo Cruz-Suárez

“…To obtain each equilibrium, a suitable fully determined fuzzy game is used in combination with the dynamic programming technique applied to this game in the context of fishing. …”
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Dynamic Multidrug Therapies for HIV: Optimal and STI Control Approaches by B. M. Adams, H. T. Banks, Hee-Dae Kwon, Hien T. Tran

“…In addition, usingideas from dynamic programming, we formulate and derive suboptimalstructured treatment interruptions (STI) in antiviral therapy thatinclude drug-free periods of immune-mediated control of HIV. …”
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Optimal feedback control of dynamical systems via value-function approximation by Kunisch, Karl, Walter, Daniel

“…Second, it is adapted to exploit the relationship between the maximum principle and dynamic programming. Based on universal approximation properties, existence, convergence and first order optimality conditions for optimal neural network feedback controllers are proved.…”
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Optimal Energy Consumption Analysis of Natural Gas Pipeline by Enbin Liu, Changjun Li, Yi Yang

“…Therefore, based on a full understanding of the actual needs of pipeline companies, we introduce production unit consumption indicators to establish an objective function for achieving the goal of lowering energy consumption. By using a dynamic programming method for solving the model and preparing calculation software, we can ensure that the solution process is quick and efficient. …”
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Modeling Campaign Optimization Strategies in Political Elections under Uncertainty by Christopher, Senfuka, Paul, Kizito Mubiru, Maureen, N. Ssempijja

“…In most political campaigns,the overall goal of every candidate is to maximize the number of voters during the election exercise.In such an effort,cost effective methods in choosing the optimal campaign strategy areparamount.In this paper, a mathematical model is proposed that optimize campaign strategies of a political candidate.Considering uncertainty in voter support and cost implications in holding political rallies,we formulate a finite state markov decision process model where states of a markov chain represent possible states of support among voters.Using daily equal intervals,thecandidates‟s decision of whether or not to campaign and hold a political rally at a given location were made using discrete time Markov chains and dynamic programming over a finite period planning horizon.Empirical data was collected from two locations on a daily basis during the campaign exercise.The data collected was analyzed and tested to establish the optimal campaign strategy and costs at the respective locations.Results from the study indicated the existence of an optimal state-dependent campaign strategy and costs at the respective political rally locations.…”
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A Method for Bio-Sequence Analysis Algorithm Development Based on the PAR Platform by Haipeng Shi, Huan Chen, Qinghong Yang, Jun Wang, Haihe Shi

“…The experiment of the development of a dynamic programming based LCS algorithm family shows the proposed method enables the improvement of the reliability, understandability, and development efficiency of particular algorithms.…”
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Modeling Multilevel Supplier Selection Problem Based on Weighted-Directed Network and Its Solution by Chia-Te Wei, Hong Zuo, Chang-Bing Jiang, Shu-fang Li

“…Firstly, this paper discusses and forms the evaluation system to estimate the supplier from the two indicators of risk and greenness and then applies the value as the weight of the network between two nodes to build a weighted-directed supplier network; secondly, the study establishes the optimal combination model of supplier selection based on the global network perspective and solves the model by the dynamic programming-tabu search algorithm and the improved ant colony algorithm, respectively; finally, different scale simulation examples are given to testify the efficiency of the two algorithms. …”
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Stackelberg Game Model of Railway Freight Pricing Based on Option Theory by Jingwei Guo, Zhongqi Xie, Qinglin Li

“…Subsequently, the reverse reasoning method in dynamic programming is used to solve the optimal combination decision of the contract customer. …”
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Edge Computing in an IoT Base Station System: Reprogramming and Real-Time Tasks by Huifeng Wu, Junjie Hu, Jiexiang Sun, Danfeng Sun

“…Embedded programmable logic controllers serve as the edge nodes; a dynamic programming method creates a seamless integration between the edge nodes and the cloud. …”
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Production Scheduling considering Outsourcing Options and Carrier Costs by Byung-Cheon Choi, Yunhong Min, Myoung-Ju Park, Kyung Min Kim

“…Due to the high complexity of the dynamic programming, we developed heuristics and verified their performance through numerical experiments.…”
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Hybrid Transshipment Policy and Ordering Model for Multiple Periods with Customer Switching Behaviour by Qingren He, Ranran Shi, Guofeng Tang

“…To cope with this problem, a discrete-time dynamic programming model framework with customer switching behaviour is developed. …”
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Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates by Roulet, Vincent, Srinivasa, Siddhartha, Fazel, Maryam, Harchaoui, Zaid

“…Our approach illuminates shared components and differences between gradient descent, Gauss–Newton, Newton, and differential dynamic programming methods in the context of discrete time nonlinear control. …”
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Model and Algorithm for Human Resource-Constrained R&D Program Scheduling Optimization by Junjie Chen, Shurong Tong, Hongmei Xie, Yafei Nie, Jingwen Zhang

“…To solve the model, according to the assumptions and constraints of the model, the initial network diagram of multiple projects is determined, the enumeration algorithm satisfying constraint conditions provides the feasible solution sets, and the algorithm based on dynamic programming is designed for phased optimization. …”
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SDP-Based Quality Adaptation and Performance Prediction in Adaptive Streaming of VBR Videos by Thoa Nguyen, Thang Vu, Nam Pham Ngoc, Truong Cong Thang

“…In this paper, we propose a new adaptation method for streaming variable bitrate (VBR) videos using stochastic dynamic programming (SDP). With this approach, the system should have a probabilistic characterization along with the definition of a cost function that is minimized by a control strategy. …”
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Cost-Effective Resource Provisioning for Real-Time Workflow in Cloud by Lei Wu, Ran Ding, Zhaohong Jia, Xuejun Li

“…In order to address the challenge of cost-effective resource provisioning while meeting the real-time requirements of workflow execution, a resource provisioning strategy based on dynamic programming is proposed to achieve cost-effectiveness of workflow execution in clouds and a critical-path based workflow partition algorithm is presented to guarantee that the workflow can be completed before deadline. …”
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An optimal path threshold method for rigorously identifying extreme climate events by Bingjie Zhao, Christopher Horvat, Huilin Gao

“…Here we introduce the Optimal Path Threshold (OPT) method, a dynamic programming-based approach that adaptively determines optimal thresholds for defining extreme events at specific severity levels. …”
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A Review of Fuzzy Logic and Neural Network Based Intelligent Control Design for Discrete-Time Systems by Yiming Jiang, Chenguang Yang, Hongbin Ma

“…Techniques for NN-based intelligent control for discrete-time systems, such as adaptive methods and adaptive dynamic programming approaches, are also reviewed. Overall, this paper is devoted to make a brief summary for recent progresses in FLC and NN-based intelligent control design for discrete-time systems as well as to present our thoughts and considerations of recent trends and potential research directions in this area.…”
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Study on Energy-Saving Train Trajectory Optimization Based on Coasting Control in Metro Lines by Bo Jin, Song Yang, Qingyuan Wang, Xiaoyun Feng

“…The results show that, for the single-section train control problem, the proposed coasting control algorithm can achieve significant energy-saving effects compared to the practical trajectory and calculate energy-saving trajectory in shorter computation times compared to the dynamic programming method. Meanwhile, for the multisection train control problem, energy consumption can be further reduced by optimizing trajectories and running times integratedly.…”
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