Results 61 to 70 of about 9,957 (290)

An Optimization Model for Tramp Ship Scheduling considering Time Window and Seaport Operation Delay Factors

open access: yesJournal of Advanced Transportation, 2021
The quantity of electrical coal transported through the tramp shipping network is increasing due to the high demands. This trend has increased the scheduling difficulty combined with the underdevelopment of the private thermal power plant port.
Ang Yang   +4 more
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

High-Speed Railway EMUs’ Circulation Plan Optimization: A Two-Stage Optimization Algorithm Based on Column Generation

open access: yesIEEE Access, 2020
Considering the characteristics of China's high-speed railway network and the allocation structure of Electric Multiple Units (EMUs), the EMUs operation management mode provides an effective technical route for EMUs route planning optimization. To reduce
Wen-Jun Li   +4 more
doaj   +1 more source

A branch-and-price-and-cut algorithm for the pattern minimization problem [PDF]

open access: yesRAIRO - Operations Research, 2008
Summary: In cutting stock problems, after an optimal (minimal stock usage) cutting plan has been devised, one might want to further reduce the operational costs by minimizing the number of setups. A setup operation occurs each time a different cutting pattern begins to be produced.
Cláudio Alves   +1 more
openaire   +4 more sources

Optimization of the Production of Rubber Compounds Using Mathematical Models

open access: yesAdvanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle   +7 more
wiley   +1 more source

Optimizing Vehicle Scheduling Based on Variable Timetable by Benders-and-Price Approach

open access: yesJournal of Advanced Transportation, 2019
In practice, vehicle scheduling is planned on a variable timetable so that the departure times of trips can be shifted in tolerable ranges, rather than on a fixed timetable, to decrease the required fleet size.
Zekang Lan   +3 more
doaj   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

open access: yesAdvanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari   +5 more
wiley   +1 more source

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

open access: yesCleaner 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   +6 more
doaj   +1 more source

Stabilized branch-and-price algorithms for vector packing problems [PDF]

open access: yesEuropean Journal of Operational Research, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Katrin Heßler   +2 more
openaire   +3 more sources

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

open access: yesAdvanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle   +5 more
wiley   +1 more source

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