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