@inproceedings{0a472b7ff8324f3d9be254d68063332b,

title = "Using particle swarm optimization for earth-return trajectories from libration point orbits",

abstract = "This paper presents a methodology to use particle swarm optimization to design optimal space trajectories from Lagrange point orbits to Earth orbits. We present an approximate, computationally inexpensive method to scan the available search space and obtain the locations and trajectories associated the with lowest V, which can be used as an initial guess that can be later used in advanced methods to obtain V optimal trajectories. The analysis suggests that it is possible to reach almost any inclination from the manifold of a halo Lagrange Point Orbit without incurring huge V costs depends on the target location for insertion. Ways to improve upon the solver and the optimization algorithm are suggested.",

author = "Mollik Nayyar and Spencer, {David B.}",

year = "2017",

month = jan,

day = "1",

language = "English (US)",

isbn = "9780877036371",

series = "Advances in the Astronautical Sciences",

publisher = "Univelt Inc.",

pages = "621--639",

editor = "Sims, {Jon A.} and Leve, {Frederick A.} and McMahon, {Jay W.} and Yanping Guo",

booktitle = "Spaceflight Mechanics 2017",

address = "United States",

note = "27th AAS/AIAA Space Flight Mechanics Meeting, 2017 ; Conference date: 05-02-2017 Through 09-02-2017",

}