A memetic algorithm for optimizing high-inclination multiple gravity-assist orbits

Authors:
Dmitry M. Pisarevsky;Pini Gurfil
Affiliations:
Faculty of Aerospace Engineering, Technion-Israel Institute of Technology, Haifa, Israel;Faculty of Aerospace Engineering, Technion-Israel Institute of Technology, Haifa, Israel
Venue:
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Year:
2009

Citing 1
Cited 1

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Memetic Strategies for Global Trajectory Optimisation

ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence

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Abstract

A large normal displacement relative to the ecliptic is necessary for mitigating the effect of the zodiacal dust cloud on space telescopes. In this paper, a memetic algorithm is used to optimize flyby paths using multiple gravity-assisted maneuvers near Earth (E) and Venus (V), which are used for reaching Jupiter (J), where the inclination is increased. The global search for optimal trajectories with minimal energy requirements and short transfer times to the highly-inclined destination orbit is performed using a niching genetic algorithm improved by a gradient-based local optimization. The optimization yields three candidate paths: EVEJ, EVEEJ and EVVEJ.