GASP: an efficient pruning technique for the global optimisation of multiple gravity assist trajectories

V. M Becerra; D. R Myatt; S. J Nasuto; J. M. Bishop; D. Izzo

GASP: an efficient pruning technique for the global optimisation of multiple gravity assist trajectories

V. M Becerra, D. R Myatt, S. J Nasuto, J. M. Bishop, D. Izzo

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Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

With application to the specific problem of multiple gravity assist trajectory design, a deterministic search space pruning algorithm is developed that displays both polynomial time and space complexity. This is shown empirically to achieve search space reductions of greater than six orders of magnitude, thus reducing significantly the complexity of the subsequent optimisation.

Original language	English
Title of host publication	XXXVIdeg: Annual Conference, Italian Operations Research Society, AIRO 2005
Publication status	Published - 2005

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@inproceedings{71d38fc233334a92a310f82772126d51,

title = "GASP: an efficient pruning technique for the global optimisation of multiple gravity assist trajectories",

abstract = "With application to the specific problem of multiple gravity assist trajectory design, a deterministic search space pruning algorithm is developed that displays both polynomial time and space complexity. This is shown empirically to achieve search space reductions of greater than six orders of magnitude, thus reducing significantly the complexity of the subsequent optimisation.",

author = "Becerra, {V. M} and Myatt, {D. R} and Nasuto, {S. J} and Bishop, {J. M.} and D. Izzo",

year = "2005",

language = "English",

booktitle = "XXXVIdeg: Annual Conference, Italian Operations Research Society, AIRO 2005",

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TY - GEN

T1 - GASP

T2 - an efficient pruning technique for the global optimisation of multiple gravity assist trajectories

AU - Becerra, V. M

AU - Myatt, D. R

AU - Nasuto, S. J

AU - Bishop, J. M.

AU - Izzo, D.

PY - 2005

Y1 - 2005

N2 - With application to the specific problem of multiple gravity assist trajectory design, a deterministic search space pruning algorithm is developed that displays both polynomial time and space complexity. This is shown empirically to achieve search space reductions of greater than six orders of magnitude, thus reducing significantly the complexity of the subsequent optimisation.

AB - With application to the specific problem of multiple gravity assist trajectory design, a deterministic search space pruning algorithm is developed that displays both polynomial time and space complexity. This is shown empirically to achieve search space reductions of greater than six orders of magnitude, thus reducing significantly the complexity of the subsequent optimisation.

M3 - Conference contribution

BT - XXXVIdeg: Annual Conference, Italian Operations Research Society, AIRO 2005

ER -

GASP: an efficient pruning technique for the global optimisation of multiple gravity assist trajectories

Abstract

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