Session
Pre-Conference Poster Session I
Location
Utah State University, Logan, UT
Abstract
Constellation of CubeSats has potential to provide comparable or even greater capabilities than a single large satellite but with lower cost and higher robustness. To design such a CubeSat constellation entails solving large-scale multi-objective optimization problems, but the computation time is not reasonable with existing tools. One promising way to address this issue is probably the GPU computing.
GPU-Accelerated Optimization of CubeSat Constellation Design Considering Cloud Cover Uncertainty
Utah State University, Logan, UT
Constellation of CubeSats has potential to provide comparable or even greater capabilities than a single large satellite but with lower cost and higher robustness. To design such a CubeSat constellation entails solving large-scale multi-objective optimization problems, but the computation time is not reasonable with existing tools. One promising way to address this issue is probably the GPU computing.
