Journal article Open Access

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

Bertolazzi, Enrico; Biral, Francesco; Ragni, Matteo

### DataCite XML Export

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<identifier identifierType="DOI">10.5281/zenodo.1139258</identifier>
<creators>
<creator>
<creatorName>Bertolazzi, Enrico</creatorName>
<givenName>Enrico</givenName>
<familyName>Bertolazzi</familyName>
<affiliation>DEPARTMENT OF INDUSTRIAL ENGINEERING, UNIVERSITY OF TRENTO</affiliation>
</creator>
<creator>
<creatorName>Biral, Francesco</creatorName>
<givenName>Francesco</givenName>
<familyName>Biral</familyName>
<affiliation>DEPARTMENT OF INDUSTRIAL ENGINEERING, UNIVERSITY OF TRENTO</affiliation>
</creator>
<creator>
<creatorName>Ragni, Matteo</creatorName>
<givenName>Matteo</givenName>
<familyName>Ragni</familyName>
<affiliation>DEPARTMENT OF INDUSTRIAL ENGINEERING, UNIVERSITY OF TRENTO</affiliation>
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<titles>
<title>GTOC 9: Results from University of Trento (team ELFMAN)</title>
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<publisher>Zenodo</publisher>
<publicationYear>2018</publicationYear>
<dates>
<date dateType="Issued">2018-01-09</date>
</dates>
<resourceType resourceTypeGeneral="JournalArticle"/>
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<alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1139258</alternateIdentifier>
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<relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1139257</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/acta-futura</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/esa-act</relatedIdentifier>
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<rightsList>
<rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
<rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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<description descriptionType="Abstract">&lt;p&gt;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&amp;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&lt;br&gt;
score. 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&lt;br&gt;
the solution of a constrained minimization problem upon the control action (the magnitude of the overall impulsive velocity changes &lt;span class="math-tex"&gt;$$\Delta$$&lt;/span&gt;V ). Only a subset of all possible transfers (selected on the basis of acceptable &lt;span class="math-tex"&gt;$$\Delta$$&lt;/span&gt; V ), enters in the database.&lt;/p&gt;</description>
</descriptions>
</resource>

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