Search for a Grand Tour of the Jupiter Galilean Moons

D. Izzo, L.F. Simões, M. Märtens, G.C.H.E. de Croon, A. Heritier, C.H. Yam

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review


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 languageEnglish
Title of host publicationProceedings of the 15th annual conference on Genetic and evolutionary computation (GECCO 2013)
EditorsC. Blum
PublisherACM Press
ISBN (Print)9781450319638
Publication statusPublished - 2013
EventGenetic and Evolutionary Computation Conference (GECCO) -
Duration: 6 Jul 201310 Jul 2013


ConferenceGenetic and Evolutionary Computation Conference (GECCO)

Bibliographical note

Distinguished with the following awards:
* Gold Humies Award for human-competitive results produced by Evolutionary Algorithms –
* Best Paper Award at GECCO 2013 (Track: Real World Applications) –


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