Published December 14, 2022 | Version v1.0

Solutions and Genetic algorithm dataset of the Scenarios used for the Validation of the Conflict Detection and Resolution Use Case (ARTIMATION )

  • 1. Ecole Nationale de l'Aviation Civile

Description

This dataset contains the solution of the scenarios used for one of the validation of the ARTIMATION project: Conflict Detection and Resolution (CD&R) use case (link).

The solution are computed by a Genetic Algorithm developped by Nicolas Durand.

Inside, one can find:

-One archive, "GA_Scenario_Solution_Dataset.zip", containing 10 couple of files (so 20 files). Each couple of file "sol_X_1.csv" and "sols_X_1.csv" are reciprocally the solutino given by the Genetic Algorithm to scenario X, and all the candidate solution explroed by the GA while solving scenario X. This archive also contain other versions of the solutions made by the GA with other parameters.

-One archive, "GA_Toy_Dataset.zip" , containing solution to random scenarios, used to develop the first interfaces.

Those solutions are used to developp the heatmatrix and heatmaps of the project (link), and visualisations for the validation (link).

Files

GA_Scenario_Solution_Dataset.zip

Files (49.5 MB)

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md5:e0997d1839f8c9ce80dc7099be32bbd7
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Additional details

Related works

Is supplement to
Dataset: 10.5281/zenodo.7437564 (DOI)
Is supplemented by
Dataset: 10.5281/zenodo.7437777 (DOI)
Dataset: 10.5281/zenodo.7437866 (DOI)

Funding

European Commission
ARTIMATION - TRANSPARENT ARTIFICIAL INTELLIGENCE AND AUTOMATION TO AIR TRAFFIC MANAGEMENT SYSTEMS 894238