Suchergebnisse - approximate statistical (dynamic 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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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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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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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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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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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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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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New efficient algorithms for multiple change-point detection with reproducing kernels von Celisse, A., Marot, G., Pierre-Jean, M., Rigaill, G.J.

“… Several statistical approaches based on reproducing kernels have been proposed to detect abrupt changes arising in the full distribution of the observations and not only in the mean or variance …”
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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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Topology and Energy Aware Approximate Algorithm for QoS-Based Resource Slicing in 5G Core Networks von Sargolzaei, Ehsan, Rasti, Mehdi, Khorsandi, Siavash

“… Given the dynamic nature of 5G core networks, where bandwidth and CPU processing demands fluctuate due to time-varying demand, user mobility, diverse QoS requirements, potential link failures, server …”
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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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Approximation algorithms for scheduling parallel machines with an energy constraint in green manufacturing von Li, Weidong, Ou, Jinwen

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Best possible algorithms for online scheduling on identical batch machines with periodic pulse interruptions von Lin, Ran, Wang, Jun-Qiang, Liu, Zhixin, Xu, Jun

“… •Design the best possible online algorithms using a waiting strategy.•Prove the competitive ratios of the online algorithms …”
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Skewer: a fast and accurate adapter trimmer for next-generation sequencing paired-end reads von Jiang, Hongshan, Lei, Rong, Ding, Shou-Wei, Zhu, Shuifang

“… Background Adapter trimming is a prerequisite step for analyzing next-generation sequencing (NGS) data when the reads are longer than the target DNA/RNA …”
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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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Detection of Multiple Structural Breaks in Large Covariance Matrices von Li, Yu-Ning, Li, Degui, Fryzlewicz, Piotr

“… This article studies multiple structural breaks in large contemporaneous covariance matrices of high-dimensional time series satisfying an approximate factor model …”
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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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