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

New integer optimization models and an approximate dynamic programming algorithm for the lot-sizing and scheduling problem with sequence-dependent setups von Lee, Younsoo, Lee, Kyungsik

“… •An ADP algorithm based on the time-flow model is also proposed.•The proposed algorithm shows computational benefits over the standard MIP solver …”
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Application of quantum approximate optimization algorithm to job shop scheduling problem von Kurowski, Krzysztof, Pecyna, Tomasz, Slysz, Mateusz, Różycki, Rafał, Waligóra, Grzegorz, Wȩglarz, Jan

“… •Demonstrate how to efficiently apply Quantum Approximate Optimization Algorithm (QAOA …”
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A Randomized Exchange Algorithm for Computing Optimal Approximate Designs of Experiments von Harman, Radoslav, Filová, Lenka, Richtárik, Peter

“… We propose a class of subspace ascent methods for computing optimal approximate designs that covers existing algorithms as well as new and more efficient ones …”
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A simulation-based approximate dynamic programming approach to dynamic and stochastic resource-constrained multi-project scheduling problem von Satic, U., Jacko, P., Kirkbride, C.

“… We use an approximate dynamic programming algorithm (ADP) with a linear approximation model which can be used for online decision making …”
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Surgical scheduling under uncertainty by approximate dynamic programming von Silva, Thiago A.O., de Souza, Mauricio C.

“… •We propose approximate dynamic programming with integer programming model.•It meets practical needs of monitoring surgical scheduling on the short-term …”
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Approximate dynamic programming for an energy-efficient parallel machine scheduling problem von Heydar, Mojtaba, Mardaneh, Elham, Loxton, Ryan

“… •An approximate dynamic programming approach is proposed.•A new binary program for solving the optimization problem at each state is proposed …”
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A fix and optimize method based approximate dynamic programming approach for the strategic fleet sizing and delivery planning problem von Aghazadeh, Duygu, Ertogral, Kadir

“… In this study, we suggest an approximate Dynamic Programming algorithm, with a look ahead strategy, that uses the fix and optimize method as the imbedded heuristic for solving integrated fleet …”
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Approximate dynamic programming methods in Bayesian preference elicitation von Fisher, William, Zhang, Qiong, Song, Yongjia

“… Bayesian preference elicitation is a statistical framework which can aid in complex decision making processes such as engineering design by offering preference-informed recommendations to a decision maker (DM …”
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Approximate dynamic programming for pickup and delivery problem with crowd-shipping von Mousavi, Kianoush, Bodur, Merve, Cevik, Mucahit, Roorda, Matthew J.

“… of orders to crowd-shippers. We formulate the problem as a Markov decision process and develop an Approximate Dynamic Programming (ADP …”
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Gaussian Process Approximate Dynamic Programming for Energy-Optimal Supervisory Control of Parallel Hybrid Electric Vehicles von Bae, Jin Woo, Kim, Kwang-Ki K.

“… We propose an energy-efficient supervisory control method for the power management of parallel hybrid electric vehicles (HEVs) to improve the fuel economy and …”
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A Bayesian Machine Learning Approach for Optimizing Dynamic Treatment Regimes von Murray, Thomas A., Yuan, Ying, Thall, Peter F.

“… These decisions can be formalized as a dynamic treatment regime. This article describes a new approach for optimizing dynamic treatment regimes, which bridges the gap between Bayesian inference and existing approaches, like Q-learning …”
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Performance Analysis of RIS-Aided THz Wireless Systems over α-μ Fading: An Approximate Closed-Form Approach von Le, Ngoc Phuc, Alouini, Mohamed-Slim

“… variates based on the Gauss-Laguerre quadrature and a moment-matching method. This approximate approach facilitates analysis of the RIS-THz system over α-μ fading channels …”
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Maximizing Net Present Value for Resource Constraint Project Scheduling Problems with Payments at Event Occurrences Using Approximate Dynamic Programming von Phuntsho, Tshewang, Gonsalves, Tad

“… Alternatively, approximate dynamic programming (ADP) sequentially generates a schedule based on strategies computed via Monte Carlo (MC) simulations …”
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Neural-Network-Based Online HJB Solution for Optimal Robust Guaranteed Cost Control of Continuous-Time Uncertain Nonlinear Systems von Liu, Derong, Wang, Ding, Wang, Fei-Yue, Li, Hongliang, Yang, Xiong

“… In this paper, the infinite horizon optimal robust guaranteed cost control of continuous-time uncertain nonlinear systems is investigated using …”
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An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents von Monaci, Marta, Agasucci, Valerio, Grani, Giorgio

“… In this work, we present a method that applies Deep Reinforcement Learning, an approximate dynamic programming procedure using deep neural networks, to the job shop scheduling problem (JSSP …”
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Efficient algorithms of pathwise dynamic programming for decision optimization in mining operations von Hinz, Juri, Tarnopolskaya, Tanya, Yee, Jeremy

“… We describe efficient algorithms for obtaining approximate solutions along with a diagnostic technique, which provides a quantitative measure for solution performance in terms of the distance …”
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Balancing resources for dynamic vehicle routing with stochastic customer requests von Soeffker, Ninja, Ulmer, Marlin W, Mattfeld, Dirk C

“… During execution, new dynamic service requests occur, e.g., for parcel pickup. The goal of the service provider is to serve as many dynamic requests as possible while ensuring service of all initial customers …”
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Reinforcement learning with dynamic convex risk measures von Coache, Anthony, Jaimungal, Sebastian

“… ‐consistent dynamic programming principle to determine the value of a particular policy, and develop policy gradient update rules that aid in obtaining optimal policies …”
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An approximate algorithm for the two-dimensional air cargo revenue management problem von Huang, Kuancheng, Chang, Ko-chen

“… For the air cargo revenue management problem, this study developed a solution algorithm based on approximating the expected revenue function in the dynamic programming (DP …”
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Approximate probabilistic analysis of biopathway dynamics von Liu, Bing, Hagiescu, Andrei, Palaniappan, Sucheendra K., Chattopadhyay, Bipasa, Cui, Zheng, Wong, Weng-Fai, Thiagarajan, P. S.

“… Since the data available for calibration will have limited precision, an approximate representation of the ODEs dynamics should suffice …”
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