Abstract
We make use of self-adaptation in a Differential Evolution algorithm and of the asynchronous island model to design a complex interplanetary trajectory touring the Galilean Jupiter moons (Io, Europa, Ganymede and Callisto) using the multiple gravity assist technique. Such a problem was recently the subject of an international competition organized by the Jet Propulsion Laboratory (NASA) and won by a trajectory designed by aerospace experts and reaching the final score of 311/324. We apply our method to the very same problem finding new surprising designs and orbital strategies and a score of up to 316/324. Copyright © 2013 ACM.
Original language | English |
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Title of host publication | Proceedings of the 15th annual conference on Genetic and evolutionary computation (GECCO 2013) |
Editors | C. Blum |
Publisher | ACM Press |
Pages | 1301-1308 |
ISBN (Print) | 9781450319638 |
DOIs | |
Publication status | Published - 2013 |
Event | Genetic and Evolutionary Computation Conference (GECCO) - Duration: 6 Jul 2013 → 10 Jul 2013 |
Conference
Conference | Genetic and Evolutionary Computation Conference (GECCO) |
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Period | 6/07/13 → 10/07/13 |
Bibliographical note
Distinguished with the following awards:* Gold Humies Award for human-competitive results produced by Evolutionary Algorithms – http://www.genetic-programming.org/combined.php
* Best Paper Award at GECCO 2013 (Track: Real World Applications) – http://www.sigevo.org/gecco-2013/