@inproceedings{3039f5b8ea2f456db6b6071ebc2390dc,
title = "Preliminary 2-D optimization of low-thrust, geocentric to halo orbit, transfers via particle swarm optimization",
abstract = "Particle Swarm Optimization (PSO) is used to optimize a low-thrust trajectory from a geocentric orbit to a Lagrange point orbit in the Earth-Moon system. Unlike a gradient based approach, this evolutionary PSO algorithm is capable of avoiding undesirable local minima. The PSO method is extended to a {"}local{"} version and uses a two dimensional search space that is capable of reducing the CPU run-time by an order of magnitude when compared with published work. A technique for choosing appropriate PSO parameters is demonstrated and an example of an optimized trajectory is discussed.",
author = "Abraham, {Andrew J.} and Spencer, {David B.} and Hart, {Terry J.}",
year = "2014",
language = "English (US)",
series = "Advances in the Astronautical Sciences",
publisher = "Univelt Inc.",
pages = "1627--1643",
editor = "Mackison, {Donald L.} and Ossama Abdelkhalik and Wilson, {Roby S.} and Renato Zanetti",
booktitle = "Advances In The Astronautical Sciences",
address = "United States",
note = "24th AAS/AIAA Space Flight Mechanics Meeting, 2014 ; Conference date: 26-01-2014 Through 30-01-2014",
}