Time-optimal spacecraft slewing maneuvers with path constraints are difficult to compute even with direct methods. This paper examines the use of a hybrid, two-stage approach, in which a particle swarm optimizer provides a rough estimate of the solution, and that serves as the input to a pseudospectral optimizer. Performance is compared between a particle swarm optimizer and a differential evolution optimizer in the first stage.
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