Results 51 to 60 of about 9,957 (290)

IMPROVED BRANCH-AND-PRICE ALGORITHM FOR THE EFFICIENT 2-TERMINAL RELIABILITY PROBLEM

open access: yesUral Mathematical Journal
The Efficient 2-Terminal Reliability Problem is a nonlinear optimization problem aimed at designing a minimal-cost network within the reliability guaranties.
Roman A. Rudakov
doaj   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

Branch and Price for Sub-modular Bin Packing

open access: yes, 2022
The submodular bin packing (SMBP) problem aims to pack items into a minimal number of bins for which the capacity utilization function is submodular. The SMBP is equivalent to the random-constrained and robust bin packing problem under various conditions.
Vanier, Sonia   +3 more
core   +4 more sources

Optimizing High-Speed Railroad Timetable with Passenger and Station Service Demands: A Case Study in the Wuhan-Guangzhou Corridor

open access: yesJournal of Advanced Transportation, 2018
This paper aims to optimize high-speed railroad timetables for a corridor. We propose an integer programming model using a time-space network-based approach to consider passenger service demands, train scheduling, and station service demands ...
Jin Wang   +4 more
doaj   +1 more source

Cost Effective Offline Reconfiguration for Large-Scale Non-Uniformly Aging Photovoltaic Arrays Efficiency Enhancement

open access: yesIEEE Access, 2020
In the past decades, a huge number of large-scale photovoltaic (PV) plants have been constructed all around the world. However, the capital and operational costs can be high, which limits their widespread applications.
Zuyu Wu   +4 more
doaj   +1 more source

Hybrid Multiagent Collaboration for Time-Critical Tasks: A Mathematical Model and Heuristic Approach

open access: yesAlgorithms, 2021
Principal–assistant agent teams are often employed to solve tasks in multiagent collaboration systems. Assistant agents attached to the principal agents are more flexible for task execution and can assist them to complete tasks with complex constraints ...
Yifeng Zhou, Kai Di, Haokun Xing
doaj   +1 more source

Affecting the Properties of Copper–Graphene Electroconductive Composite by Severe Plastic Deformation

open access: yesAdvanced Engineering Materials, EarlyView.
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich   +3 more
wiley   +1 more source

Artificial intelligence-enabled probabilistic load demand scheduling with dynamic pricing involving renewable resource

open access: yesEnergy Reports, 2022
Residential demand response is one of the key enabling technologies which plays an important role in managing the load demand of prosumers. However, the load scheduling problem becomes quite challenging due to the involvement of dynamic parameters and ...
Muhammad Babar Rasheed   +2 more
doaj   +1 more source

A branch‐and‐price algorithm for a hierarchical crew scheduling problem [PDF]

open access: yesNaval Research Logistics (NRL), 2002
AbstractWe describe a real‐life problem arising at a crane rental company. This problem is a generalization of the basic crew scheduling problem given in Mingozzi et al. [18] and Beasley and Cao [6]. We formulate the problem as an integer programming problem and establish ties with the integer multicommodity flow problem and the hierarchical interval ...
Faneyte, Diego B.C.   +2 more
openaire   +2 more sources

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

open access: yesAdvanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier   +17 more
wiley   +1 more source

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