Optimizing Multi-Spacecraft Cislunar Space Domain Awareness Systems via Hidden-Genes Genetic Algorithm
arxiv(2023)
摘要
This paper proposes an optimization problem formulation to tackle the
challenges of cislunar Space Domain Awareness (SDA) through multi-spacecraft
monitoring. Due to the large volume of interest as well as the richness of the
dynamical environment, traditional design approaches for Earth-based
architectures are known to have challenges in meeting design requirements for
the cislunar SDA; thus, there is a growing need to have a multi-spacecraft
system in cislunar orbits for SDA. The design of multi-spacecraft-based
cislunar SDA architecture results in a complex multi-objective optimization
problem, where parameters such as number of spacecraft, observability, and
orbit stability must be taken into account simultaneously. Through the use of a
multi-objective hidden genes genetic algorithm, this study explores the
entirety of the design space associated with the cislunar SDA problem. A
demonstration case study shows that our approach can provide architectures
optimized for both cost and effectiveness.
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