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@InProceedings{SantosPrad:2012:MiFuMu,
               author = "Santos, Denilson Paulo Souza dos and Prado, Antonio Fernando 
                         Bertachini de Almeida",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Minimum fuel multi-impulsive orbital maneuvers using genetic 
                         algorithms",
            booktitle = "Anais...",
                 year = "2012",
         organization = "IAA Conference on Dynamics and Control of Space Systems, 1.",
             keywords = "algor{\'{\i}}tmos gen{\'e}ticos, rendezvous, 
                         transfer{\^e}ncias orbitais, trajet{\'o}rias espaciais.",
             abstract = "This work aims to calculate transfer trajectories between two 
                         coplanar orbits using several impulses, trying to find solutions 
                         that minimize the costs related to the fuel consumption required 
                         to apply those impulses. The algorithm used here uses a time-free 
                         approach and a genetic algorithm as a method for solving the 
                         problem. Evolutionary optimization is used to solve the Lambertīs 
                         Problem associated with those transfers and searches for the best 
                         trajectories within the various possibilities for solving the 
                         problem. After that, a numerical algorithm to solve the same 
                         transfers is used, but now considering a low thrust maneuver. This 
                         type of propulsion system provides large savings in the 
                         consumption, at the expense of more complex and longer 
                         maneuvers.",
  conference-location = "Porto - Portugal",
      conference-year = "2012",
                label = "lattes: 5351862393409206 1 SantosPrad:2012:MIFUMU",
             language = "pt",
           targetfile = "85.pdf",
        urlaccessdate = "30 abr. 2024"
}


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