Abstract Particle Swarm Optimization (PSO) is used to prune the search space of a low-thrust trajectory transfer from a high-altitude, Earth 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 computation 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.
Early Mission Design of Transfers to Halo Orbits via Particle Swarm Optimization
2016
Article (Journal)
English
Early Mission Design of Transfers to Halo Orbits via Particle Swarm Optimization
Springer Verlag | 2016
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