Skip to content
Back to outputs

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

GASP : an efficient pruning technique for the global optimisation of multiple gravity assist trajectories. / Becerra, V. M; Myatt, D. R; Nasuto, S. J; Bishop, J. M.; Izzo, D.

XXXVIdeg: Annual Conference, Italian Operations Research Society, AIRO 2005. 2005.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Becerra, VM, Myatt, DR, Nasuto, SJ, Bishop, JM & Izzo, D 2005, GASP: an efficient pruning technique for the global optimisation of multiple gravity assist trajectories. in XXXVIdeg: Annual Conference, Italian Operations Research Society, AIRO 2005.

APA

Becerra, V. M., Myatt, D. R., Nasuto, S. J., Bishop, J. M., & Izzo, D. (2005). GASP: an efficient pruning technique for the global optimisation of multiple gravity assist trajectories. In XXXVIdeg: Annual Conference, Italian Operations Research Society, AIRO 2005

Vancouver

Becerra VM, Myatt DR, Nasuto SJ, Bishop JM, Izzo D. GASP: an efficient pruning technique for the global optimisation of multiple gravity assist trajectories. In XXXVIdeg: Annual Conference, Italian Operations Research Society, AIRO 2005. 2005

Author

Becerra, V. M ; Myatt, D. R ; Nasuto, S. J ; Bishop, J. M. ; Izzo, D. / GASP : an efficient pruning technique for the global optimisation of multiple gravity assist trajectories. XXXVIdeg: Annual Conference, Italian Operations Research Society, AIRO 2005. 2005.

Bibtex

@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",

}

RIS

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 -

ID: 3262400