Multi-Task Learning-Based Task Scheduling Switcher for a Resource-Constrained IoT System
Information, 2021 In this journal, we proposed a novel method of using multi-task learning to switch the scheduling algorithm. With multi-task learning to change the scheduling algorithm inside the scheduling framework, the scheduling framework can create a scheduler with
Mohd Hafizuddin Bin Kamilin +2 more
doaj +1 more source
A Review of Optimization Studies for System Appointment Scheduling
Axioms, 2023 In the face of an increasingly high-demand environment for outpatients, achieving a balance between allocation of limited medical resources and patient satisfaction has considerable social and economic benefits.
Tiantian Niu +7 more
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Optimization of Bi-Directional V2G Behavior With Active Battery Anti-Aging Scheduling [PDF]
, 2020 The bi-directional linkage between the power grid and electric vehicles (EVs) enables flexible, cheap and fast-responding use of vehicle batteries in the grid. However, the battery aging effects due to the additional operation cycles caused by Vehicle-to-
Li, Jianwei +3 more
core +1 more source
A Review of the Scheduling Problem within Canadian Healthcare Centres
Applied Sciences, 2022 In this paper, the current literature regarding nurse scheduling and physician scheduling in Canada is reviewed. Staff scheduling is a vital aspect of healthcare which has immediate positive benefits when optimized. It is also a very complex optimization
Connor Little, Salimur Choudhury
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Mathematical Optimization of Treatment Schedules [PDF]
International Journal of Radiation Oncology*Biology*Physics, 2016 In the past decades mathematical optimization has found its way into radiation therapy and has made profound practice changing impact. Today, virtually all advanced treatment delivery methods, such as IMRT, VMAT, tomotherapy, LDR/HDR brachytherapy, proton therapy, are based on some form of optimization approach that changes the treatment variables ...
Gorissen, Bram L. +2 more
openaire +3 more sources
A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective
IEEE Access, 2019 One contemporary policy to deal with traffic congestion is the design and implementation of forecasting methods that allow users to plan ahead of time and decision makers to improve traffic management.
Juan S. Angarita-Zapata +2 more
doaj +1 more source
Studi Literatur Metode Optimasi untuk Penjadwalan Kelas [PDF]
, 2023 The preparation of teaching schedules in a conventional way is still often found in some schools, so it is necessary to prepare schedules that can be computerized, one of which uses an algorithm.
Wahyudi, Erly Rofianti
core
Fast divide-and-conquer algorithms for preemptive scheduling problems with controllable processing times – A polymatroid optimization approach [PDF]
, 2008 We consider a variety of preemptive scheduling problems with controllable processing times on a single machine and on identical/uniform parallel machines, where the objective is to minimize the total compression cost.
A. Federgruen +20 more
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Cost Optimal Project Scheduling
Organizacija, 2008 Cost Optimal Project Scheduling This paper presents the cost optimal project scheduling. The optimization was performed by the nonlinear programming approach, NLP. The nonlinear total project cost objective function is subjected to the rigorous system of the activity precedence relationship constraints, the activity duration constraints ...
Klanšek, Uroš, Pšunder, Mirko
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A case study of process facility optimization using discrete event simulation and genetic algorithm [PDF]
, 2005 Optimization problems such as resource allocation, job-shop scheduling, equipment utilization and process scheduling occur in a broad range of processing industries.
Burt, G.M. +4 more
core +1 more source