Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
9
datasets available to search
ShareScore release 0.9.0
Dataset results
9 results for “metaheuristic”
A Review Of Metaheuristics in Fuzzy Time Series Applied To Zero Inflated Datasets
<p>The manufacturing efficiency reflects directly on the use of natural resources and leads to a higher environmental impact than needed. Efficiency of an industry can be achieved in many ways, but it always starts with demand management. However some products have erratic and irregular demand patterns as the nature of the usage varies, and this often leads to zero inflated demand datasets, said datasets are difficult to forecast due to the nature of traditional models which usually use moving averages, state of the art machine learning models can achieve good results but use too much data for training. Under this background, this paper investigates the Fuzzy Time Series models and how it evolved from its inception to present time and how the usage of metaheuristics can help with forecasting demand on a small dataset with a high count of zeros, then applies the techniques to other zero inflated dataset to verify its generalization capabilities. Finally another model is applied as comparison.</p>
Investigating Multi and Many-Objective Metaheuristics to Support Software Integration Testing
<p> In spite of the fact that Search-Based Software Testing (SBST) is a very appealing field today, there are few studies that deal with software integration testing and, even so, most of these works are not truly related to the generation of test cases to this testing level. In this paper, we present a method, InMeHy, which aims at investigating the use of metaheuristics to derive integration test cases based on C++ source code. A graph is created based on the code which represents the integration of several classes of the application. Multi and Many-Objective metaheuristics (Evolutionary Algorithms) were considered to generate integration test cases and were assessed via three quality indicators. Results show that the traditional Indicator-Based Evolutionary Algorithm (IBEA) turned out to be the best out of four algorithms evaluated, including newer Many-Objective strategies such as Nondominated Sorting Genetic Algorithm-III (NSGA-III).</p>
Experimental data from the initial validation of spark-eclib, a new framework for distributed metaheuristics in Spark
<p>This repository contains the experimental data obtained from two series of experiments to validate and profile <a href="https://doi.org/10.5281/zenodo.8431048"><strong>spark-eclib</strong></a>, a framework written in Scala to support the development of distributed population-based metaheuristics and their application to the global optimization of large-scale problems in Spark clusters:</p> <ul> <li>Experiments to validate the proposal of a generic topology for distributed PSO algorithms.</li> <li>Experiments to profile the parallel implementations of a PSO template.</li> </ul>
Reasearch data for publication "On optimizing metaheuristics performance with different error normalization approaches"
<p>These are the results of experiments performed for publication "On optimizing metaheuristics performance with different error normalization approaches" using authors own software -- EvANN -- which is available on github.</p>
Supplementary Material - A Comparison of Clustering Approaches for Metaheuristic Behaviour Data
<p>This repo contains all results data as images and tables that was gathered and used for evaluating the experiments in the paper "A Comparison of Clustering Approaches for Metaheuristic Behaviour Data". The folder structure is representative of the respective dataset used to generate the results.</p>
Competitive Metaheuristic Algorithms for Building a Performance Database of a Dual-Band Combline Bandpass Filter with Microstrip Connection (Version 17)
<p>To run the files, remove the prefixes (e.g. figA- or fig5A-)</p>
Competitive Metaheuristic Algorithms for Building a Performance Database of a Dual-Band Combline Bandpass Filter with Microstrip Connection (Version 17) [Dataset]. Zenodo.
<p>To run the files, remove the prefixes (e.g. figA- or fig5A-)</p>
Investigating Multi and Many-Objective Metaheuristics to Support Software Integration Testing
<p>In spite of the fact that Search-Based Software Testing (SBST) is a very appealing field today, there are few studies that deal with software integration testing and, even so, most of these works are not truly related to the generation of test cases to this testing level. In this paper, we present a method, InMeHy, which aims at investigating the use of metaheuristics to derive integration test cases based on C++ source code. A graph is created based on the code which represents the integration of several classes of the application. Multi and Many-Objective metaheuristics (Evolutionary Algorithms) were considered to generate integration test cases and were assessed via three quality indicators. Results show that the traditional Indicator-Based Evolutionary Algorithm (IBEA) turned out to be the best out of four algorithms evaluated, including newer Many-Objective strategies such as Nondominated Sorting Genetic Algorithm-III (NSGA-III).</p>
Artifacts for the paper "Concretization of Abstract Traffic Scene Specifications Using Metaheuristic Search"
<p>This deposit contains measurement data and additional artifacts pertaining to the <a href="https://ieeexplore.ieee.org/abstract/document/10315708">Concretization of Abstract Traffic Scene Specifications Using Metaheuristic Search</a>" paper.</p> <p>Specifically, the artifacts are divided into 6 directories:</p> <ul> <li><em>0-config/ </em>contains configuration files use to generate input scene specifications (using Scenic) with various number of actors.</li> <li><em>1-data/</em> contains the generated input scene specifications for each map and actor size. It also contains additional scene specifications used for RQ3 (in the `zalaFullcrop/` subfolder).</li> <li><em>2-results/</em> contains measurement results (i.e. (1) visualizations of generated scenes and (2) corresponding scene specifications containing exact positions of each vehicle, as well as (3) measurement data) for each research question.</li> <li><em>3-figures/</em> contains figures derived from the contents of `results/` (including additional figures not included in the publication).</li> <li><em>4-TestingSemanticSegmentation/</em> contains artifacts related to the integration of the CARLA simulator and of three computer-vision components: <ul> <li><em> 0-sceneConfig/</em> contains configuration files used to generate scenes.</li> <li> <em>1-scenesWithExactCoordinates/ </em>contains (1) visualizations of generated scenes and (2) corresponding Scenic-compatible scene specifications containing exact positions of each vehicle.</li> <li> <em> 2-staticImages/</em> contains dashcam images for generated scenes and corresponding ground truth semantic segmentation, obtained through the CARLA integration.</li> <li> <em>3-predictions/</em> contains predicted semantic segmentation results (and their overlay on top of the corresponding dashcam image) obtained using three computer-vision components.</li> <li> <em>4-videos/</em> contains videos of generated scenes running with the default AV stack included in CARLA.</li> <li> <em>5-metrics</em> contains initial measurement data for the predicted semantic segmentation.</li> </ul> </li> <li><em>5-simulationVideos/</em> contains videos of two scenario-based test cases executed in simulation. The two scenarios are only differenciated by the initial scene, which impacts the outcome of test execution (collision vs. no-collision).</li> </ul> <p>All the code of the proposed <a href="https://github.com/ArenBabikian/Scenic">MHS-based scene concretization approach</a> is implemented as an extension to the <a href="https://github.com/BerkeleyLearnVerify/Scenic">Scenic</a> tool, which is available under the <a href="https://opensource.org/licenses/BSD-3-Clause">3-Clause BSD License</a>.</p>
ScienceDex guides
Understand access before you commit
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.