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10 results for “MILP”
Data for Solar Field Output Temperature Optimization Using a MILP Algorithm and a 0D Model in the Case of a Hybrid Concentrated Solar Thermal Power Plant for SHIP Applications
<p>These data were generated for the Open-Acces Article :</p> <p>Kamerling, S.; Vuillerme, V.; Rodat, S. Solar Field Output Temperature Optimization Using a MILP Algorithm and a 0D Model in the Case of a Hybrid Concentrated Solar Thermal Power Plant for SHIP Applications. <em>Energies</em> <strong>2021</strong>, <em>14</em>, 3731. https://doi.org/10.3390/en14133731</p> <p>In these dataset, the data for the Case Study and the Sensitivity Analysis are available. Jupyter Notebooks for further process of these data are also available. The NoteBooks AnalyseHourlyValues, AnalyseDailyValues and AnalyseMonthlyValues allow for easy change of variable, whereas CaseStudyAnalysis is for one specific set of data. The AnalyseSets were created in order to analyse the influence of the optimization on the solar fraction of the different datasets.</p>
Dataset for A MILP approach for detailed pipeline scheduling and storage management problem in the phosphate industry
<p>Case studies of a multi-product slurry pipeline scheduling and storage management problem in the phosphate industry.</p>
PlasBin-flow: A flow-based MILP algorithm for plasmid contigs binning
<p>PlasBin-flow is a method for detecting plasmid contigs bins from the assembly graph for a given bacterial sample. The method is based on a Mixed-Integer Linear Programming (MILP) formulation.</p> <p>The data shared consists of output files of PlasBin-flow as well as those of 5 other plasmid binning methods, namely, PlasBin, HyAsP, MOB-recon, plasmidSPAdes and gplas for 66 test samples. Details about each sample have been provided in the file <strong>samples.csv</strong>. </p> <p>The output folder contains one folder per sample. Each sample folder contains the following files: </p> <ul> <li>PlasBin-flow was executed using 7 different weight combinations for the objective function of the MILP.<br> For every weight combination <span class="math-tex">\((a,b,c)\)</span> , we have a file name <em>plasbin_flow_a_b_c_bins.out.</em></li> <li>PlasBin: <em>plasbin_contig_chains.csv</em>,</li> <li>HyAsP: <em>hyasp_plasmid_contigs.fasta</em>,</li> <li>MOB-recon: <em>mob_recon_contig_report.txt</em>,</li> <li>plasmidSPAdes: <em>plasmidspades_contigs.fasta</em>,</li> <li>gplas: <em>gplas_bins.tab</em>.</li> </ul> <p> </p> <p> </p>
Dataset for A MILP approach for detailed operational scheduling of a supply chain in the phosphate industry
<p>10 instances to evaluate a MILP approach for detailed operational scheduling of a supply chain in the phosphate industry.</p>
FloripaSat MILPs
<p>This dataset contains several instances of the Offline Nanosatellite Task Scheduling (ONTS) problem, based on the parameters of the FloripaSat-1 mission. Each instance (.json file) is paired with a (quasi-)optimal solution vector (_opt.npz file) and the 500 best solutions found (_sols.npz file).</p> <p>In <a href="https://github.com/brunompacheco/sat-gnn">https://github.com/brunompacheco/sat-gnn</a> you can find the code used to generate the instances, load them, and compute the results in the .npz files.</p>
Data for MILP algorithm for control strategy optimisation of a hybrid solar thermal plant consisting of two different solar fields working for two processes at different temperatures, a three tanks storage and a boiler for SHIP applications
<p>This repository contains the results of simulations exposed in the article <strong>MILP algorithm for control strategy optimisation of a hybrid solar thermal plant consisting of two different solar fields working for two processes at different temperatures, a three tanks storage and a boiler for SHIP applications.</strong></p> <p>Notebooks for easy plotting of the results are contained in this repository. The README.txt contains light explainations regarding how to use those notebooks.</p> <p>This article is yet to be published at the time of writing.</p> <p> </p>
SNDlib-MIPs: A new set of homogeneous MILP instances
<p>We constructed 289 MILP instances based on the Survivable Network Design Library (SNDLib) <a href="http://sndlib.zib.de/home.action">http://sndlib.zib.de/home.action</a> and the models presented within. Our models differ from the formulations provided in that SOS constraints are used in place of big-M constraints, a set of edge disjoint paths are used in place of all possible paths, pre-installed capacity is only available if links are included, and in the bidirectional case capacities are the sum of both capacities instead of the maximum. The models were constructed using SCIP 8.0.3, with the code available at <a href="https://github.com/Opt-Mucca/branching-via-cut-selection">https://github.com/Opt-Mucca/branching-via-cut-selection</a>. Please see the attached PDF for a complete model description.</p>
Eletronic Companion - A Novel MILP Formulation for Optimal Allocation and Coordination of Protective and Switching Devices in Active Distribution Networks
<p>This release is associated with a paper entitled "A Novel MILP Formulation for Optimal Allocation and Coordination of Protective and Switching Devices in Active Distribution Networks".</p> <p>The attached document provides the data adopted to obtain the results presented in the paper.</p>
Eletronic Companion - Optimal Protection System Planning for Distribution Networks: a MILP Approach
<p>This release is associated with a paper entitled "Optimal Protection System Planning for Distribution Networks: a MILP Approach".</p> <p>The attached document provides the data adopted to obtain the results presented in the paper.</p>
MILP-Approach for the Supply Chain Master Planning Problem – Data Set
<p>This data set is about a multi-period, multi-stage, multi product supply chain with multi-level bill of materials supply chain master planning problem within the automotive industry. In total it specifies a supply chain consisting of 322 products, 14 nodes, 52 periods and 73 ar<strong>c </strong>and the associated parameters (e.g. inventory, production and transport capacities, bill of materials, operations, ..)</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.