Results 51 to 60 of about 9,877 (247)

Simulation‐Based Analysis of Insert Pull‐Out in Nickel‐Polyurethane Hybrid Foams Using CT‐Derived Geometries

Advanced Engineering Materials, EarlyView.
CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz, Jonas Fell, Hendrik Jost, Stefan Diebels, Hans‐Georg Herrmann   +4 more
wiley   +1 more source

An exact method for vehicle routing problem with backhaul discounts in urban express delivery network

Cleaner Logistics and Supply Chain
The surge in e-commerce has led to an increased demand for urban express services, requiring the strategic development of delivery networks that are both efficient and cost-effective.
Jinqiu Zhao, Yongwu Liu, Jinwei Zhang, Jing Zhang, Yixiao Huang, Le Yu, Binglei Xie   +6 more
doaj   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

A Branch-Price-and-Cut algorithm for the Multi-Commodity two-echelon Distribution Problem

EURO Journal on Transportation and Logistics
In the Multi-Commodity two-echelon Distribution Problem (MC2DP), multiple commodities are distributed in a two-echelon distribution system involving suppliers, distribution centres and customers.
Matteo Petris, Claudia Archetti, Diego Cattaruzza, Maxime Ogier, Frédéric Semet   +4 more
doaj   +1 more source

Integrated Crew Scheduling and Roster Problem for Trainmasters of Passenger Railway Transportation

IEEE Access, 2019
Train crew management is an imperative task in a passenger railway system and is typically decomposed into two sub-problems: crew scheduling problem and crew rostering problem.
Dung-Ying Lin, Meng-Rung Tsai
doaj   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

Advanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin, Marta Campolucci, Nicolas de Andrade Ishiki, Nathan Mirgot, Nadir Zhamantay, Frédéric Kanoufi, Jennifer Peron, Jean Charlety, Emiliano Fonda, Valérie Briois, Marco Faustini, Maria‐Letizia De Marco, Christine Goyhenex, Ovidiu Ersen, Hervé Bulou   +14 more
wiley   +1 more source

Branch-and-price-and-cut for large-scale multicommodity capacitated fixed-charge network design

EURO Journal on Computational Optimization, 2014
We present a branch-and-price-and-cut algorithm for solving large-scale instances of the multicommodity capacitated fixed-charge network design problem.
Bernard Gendron, Mathieu Larose
doaj   +1 more source

Heuristic branch-and-price for building long term trainee schedules. [PDF]

Branch-and-price is an increasingly important technique for solving large integer programming models. Staff scheduling has been a particularly fruitful area since these problems typically exhibit a decomposable structure.
Belien, Jeroen, Demeulemeester, Erik
core  

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

A Price-and-Branch Algorithm for Network Slice Optimization in Packet-Switched Xhaul Access Networks

Applied Sciences
Network slicing is a concept introduced in 5G networks that supports the provisioning of multiple types of mobile services with diversified quality of service (QoS) requirements in a shared network.
Mirosław Klinkowski
doaj   +1 more source