Journal article Open Access
Bertolazzi, Enrico; Biral, Francesco; Ragni, Matteo
{ "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 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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