@inproceedings{5e4d245360f04ef9bc7a49bef6b18612,
title = "Space transportation system and infrastructure design for regular interplanetary cargo missions",
abstract = "This paper develops a computationally efficient and scalable mission planning optimization method for a regular interplanetary transportation missions over a long time horizon. As more sustainable and long-term manned missions to Mars are being conceptualized, the need for a reliable and regular interplanetary cargo transportation system has also become increasingly prominent. However, planning the regular cargo transportation mission with the existing problem formulation had a limitation in computational scalability in the time dimension. The proposed method, or also termed as partially periodic time-expanded network, is constructed to compensate the past studies{\textquoteright} limitations and is shown to be computationally scalable and also capable of generating solutions that are practically preferred. A case study reveals the convergence of the initial mass low-Earth orbit (IMLEO) of the regular missions to the theoretical optimal solution as the number of cargo transportation missions increases.",
author = "Hao Chen and Lee, {Hang Woon} and Koki Ho",
note = "Publisher Copyright: {\textcopyright} 2017, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.; AIAA Space and Astronautics Forum and Exposition, SPACE 2017 ; Conference date: 12-09-2017 Through 14-09-2017",
year = "2017",
doi = "10.2514/6.2017-5197",
language = "English (US)",
isbn = "9781624104831",
series = "AIAA SPACE and Astronautics Forum and Exposition, SPACE 2017",
publisher = "American Institute of Aeronautics and Astronautics Inc, AIAA",
booktitle = "AIAA SPACE and Astronautics Forum and Exposition",
}