Search Results - approximate statistical ((dynamic OR dynamik) 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 by 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…”
Get full text

Application of quantum approximate optimization algorithm to job shop scheduling problem by Kurowski, Krzysztof, Pecyna, Tomasz, Slysz, Mateusz, Różycki, Rafał, Waligóra, Grzegorz, Wȩglarz, Jan

“…•Demonstrate how to efficiently apply Quantum Approximate Optimization Algorithm (QAOA…”
Get full text

A Randomized Exchange Algorithm for Computing Optimal Approximate Designs of Experiments by 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…”
Get full text

Surgical scheduling under uncertainty by approximate dynamic programming by 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…”
Get full text

An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents by 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…”
Get full text

A fix and optimize method based approximate dynamic programming approach for the strategic fleet sizing and delivery planning problem by 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…”
Get full text

Efficient algorithms of pathwise dynamic programming for decision optimization in mining operations by 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…”
Get full text

Approximate dynamic programming methods in Bayesian preference elicitation by 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…”
Get full text

A Bayesian Machine Learning Approach for Optimizing Dynamic Treatment Regimes by 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…”
Get full text

New efficient algorithms for multiple change-point detection with reproducing kernels by 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…”
Get full text

Performance Analysis of RIS-Aided THz Wireless Systems over α-μ Fading: An Approximate Closed-Form Approach by 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…”
Get full text

Topology and Energy Aware Approximate Algorithm for QoS-Based Resource Slicing in 5G Core Networks by 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…”
Get full text

Neural-Network-Based Online HJB Solution for Optimal Robust Guaranteed Cost Control of Continuous-Time Uncertain Nonlinear Systems by 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…”
Get full text

Approximation algorithms for scheduling parallel machines with an energy constraint in green manufacturing by Li, Weidong, Ou, Jinwen

Get full text

Best possible algorithms for online scheduling on identical batch machines with periodic pulse interruptions by 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…”
Get full text

Skewer: a fast and accurate adapter trimmer for next-generation sequencing paired-end reads by 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…”
Get full text

Balancing resources for dynamic vehicle routing with stochastic customer requests by 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…”
Get full text

Reinforcement learning with dynamic convex risk measures by 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…”
Get full text

Detection of Multiple Structural Breaks in Large Covariance Matrices by 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…”
Get full text

An approximate algorithm for the two-dimensional air cargo revenue management problem by 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…”
Get full text