January 9, 2018 Journal article Open Access

Bertolazzi, Enrico; Biral, Francesco; Ragni, Matteo

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{
  "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&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>", 
  "license": "http://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"
    }
  ], 
  "url": "https://zenodo.org/record/1139258", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2018-01-09", 
  "headline": "GTOC 9: Results from University of Trento (team ELFMAN)", 
  "@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)"
}