January 9, 2018 Journal article Open Access

Bertolazzi, Enrico; Biral, Francesco; Ragni, Matteo

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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>
    </creator>
  </creators>
  <titles>
    <title>GTOC 9: Results from University of Trento (team ELFMAN)</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <dates>
    <date dateType="Issued">2018-01-09</date>
  </dates>
  <resourceType resourceTypeGeneral="JournalArticle"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1139258</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <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>
  </relatedIdentifiers>
  <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>
  </rightsList>
  <descriptions>
    <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>
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