Results 71 to 80 of about 1,501,275 (273)
Purpose: This paper aims to propose an optimal scheduling for medical resources order and shipment in community health service centers (CHSCs).Design/methodology/approach: This paper presents two logistical support models for scheduling medical resources
Ming Liu
doaj +1 more source
Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers
A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley +1 more source
Approximation in stochastic integer programming [PDF]
Approximation algorithms are the prevalent solution methods in the field of stochastic programming. Problems in this field are very hard to solve. Indeed, most of the research in this field has concentrated on designing solution methods that approximate ...
Vlerk, Maarten H. van der, Stougie, Leen
core
Transformation of propositional calculus statements into integer and mixed integer programs: An approach towards automatic reformulation [PDF]
A systematic procedure for transforming a set of logical statements or logical conditions imposed on a model into an Integer Linear Progamming (ILP) formulation Mixed Integer Programming (MIP) formulation is presented. An ILP stated as a system of linear
Hadjiconstantinou, E
core +4 more sources
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Accounting for animal health in efficiency analysis: An application to Swedish dairy farms
Abstract Poor animal health is a central concern in modern livestock production. Despite the necessity to incorporate animal health in efficiency analysis, the theoretical and empirical developments are limited on this subject. This article appropriately characterizes the axiomatic properties of animal health within a production framework.
Frederic Ang +3 more
wiley +1 more source
We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh +4 more
wiley +1 more source
Hydropower Bidding Using Linearized Start-Ups
Hydropower producers must submit bids to electricity market auctions where they state their willingness to produce power. These bids may be determined using a mixed-integer linear stochastic program.
Ellen Krohn Aasgård
doaj +1 more source
ABSTRACT Autologous cell therapy (AuCT) manufacturing networks must balance two competing objectives: reducing cost and improving patient access to time‐sensitive therapy. This study compares three AuCT manufacturing network designs: a centralized network with a single manufacturing facility, a coordinated point‐of‐care (POC) network in which POCs can ...
Zhaowei Li +3 more
wiley +1 more source
ABSTRACT This study demonstrates how a profitable, lean, and environmentally responsible e‐waste reverse logistics system can be designed using integrated Operations Research (OR) techniques. Addressing the growing urgency of responsible consumption (UN SDG 12) and the projected rise of the e‐waste sector to USD 137.60 billion by 2029, the research ...
Sheeba Pathak, Hajar Fatorachian
wiley +1 more source

