Evolutionary constrained optimization for a Jupiter capture

Jérémie Labroquère, Aurélie Héritier, Annalisa Riccardi, Dario Izzo

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

This investigation considers the optimization of multiple gravity assist capture trajectories in the Jupiter system combining the well known Differential Evolution algorithm with different classes of constraint handling techniques. The trajectories are designed to reach a desired target orbit around Jupiter with minimum fuel consumption while satisfying mission design constraints on maximum thrust level, maximum time of flight and minimum closest distance to the planet. The advanced constraints handling techniques are compared for different set of constraints on the challenging mission design problem. For each method the trade off between performance, efficiency and the structure of the feasible space is analysed in light of the results obtained.
Original languageEnglish
Pages262-271
Number of pages10
Publication statusPublished - 2014
EventParallel Problem Solving from Nature - Ljubljana, Slovenia
Duration: 13 Sep 201417 Sep 2014
Conference number: 13

Conference

ConferenceParallel Problem Solving from Nature
Abbreviated titlePPSN XIII
CountrySlovenia
CityLjubljana
Period13/09/1417/09/14

Fingerprint Dive into the research topics of 'Evolutionary constrained optimization for a Jupiter capture'. Together they form a unique fingerprint.

  • Cite this

    Labroquère, J., Héritier, A., Riccardi, A., & Izzo, D. (2014). Evolutionary constrained optimization for a Jupiter capture. 262-271. Paper presented at Parallel Problem Solving from Nature, Ljubljana, Slovenia.