Journal article Open Access

# GTOC 9: Results from University of Trento (team ELFMAN)

Bertolazzi, Enrico; Biral, Francesco; Ragni, Matteo

### JSON-LD (schema.org) Export

{
"description": "<p>The GTOC9 competition requires the design of a sequence of missions to remove debris from the LEO orbit. A mission is a sequence of transfer of the spacecraft from one debris&nbsp;to another. Both missions and transfer must fulfill a set of constraints. The work presents the procedures to develop a solution for the GTOC9 problem (i.e the mission sequence) that does not violate constraints.The solution is obtained through an evolutionary algorithm that combines pre-computed basic missions stored in a database. The main objective of the algorithm is to minimize the overall cost of the solution, in order to maximize the competition<br>\nscore. The database of pre-computed missions is derived by connecting transfers stored in a database of transfers, through a combinatorial approach that considers the problem constraints. The database of transfer is formulated through<br>\nthe solution of a constrained minimization problem upon the control action (the magnitude of the overall impulsive velocity changes <span class=\"math-tex\">\$$\\Delta\$$</span>V ). Only a subset of all possible transfers (selected on the basis of acceptable <span class=\"math-tex\">\$$\\Delta\$$</span> V ), enters in the database.</p>",
"license": "https://creativecommons.org/licenses/by/4.0/legalcode",
"creator": [
{
"affiliation": "DEPARTMENT OF INDUSTRIAL ENGINEERING, UNIVERSITY OF TRENTO",
"@type": "Person",
"name": "Bertolazzi, Enrico"
},
{
"affiliation": "DEPARTMENT OF INDUSTRIAL ENGINEERING, UNIVERSITY OF TRENTO",
"@type": "Person",
"name": "Biral, Francesco"
},
{
"affiliation": "DEPARTMENT OF INDUSTRIAL ENGINEERING, UNIVERSITY OF TRENTO",
"@type": "Person",
"name": "Ragni, Matteo"
}
],
"headline": "GTOC 9: Results from University of Trento (team ELFMAN)",
"image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg",
"datePublished": "2018-01-09",
"url": "https://zenodo.org/record/1139258",
"@context": "https://schema.org/",
"identifier": "https://doi.org/10.5281/zenodo.1139258",
"@id": "https://doi.org/10.5281/zenodo.1139258",
"@type": "ScholarlyArticle",
"name": "GTOC 9: Results from University of Trento (team ELFMAN)"
}
165
72
views
downloads
All versions This version
Views 165167
Downloads 7272
Data volume 17.6 MB17.6 MB
Unique views 151153
Unique downloads 6868