Journal article Open Access

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

Bertolazzi, Enrico; Biral, Francesco; Ragni, Matteo

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{
"publisher": "Zenodo",
"DOI": "10.5281/zenodo.1139258",
"container_title": "Acta Futura",
"title": "GTOC 9: Results from University of Trento (team ELFMAN)",
"issued": {
"date-parts": [
[
2018,
1,
9
]
]
},
"abstract": "<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>",
"author": [
{
"family": "Bertolazzi, Enrico"
},
{
"family": "Biral, Francesco"
},
{
"family": "Ragni, Matteo"
}
],
"page": "79-90",
"type": "article-journal",
"issue": "11",
"id": "1139258"
}
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