Becerra, V.M. and Nasuto, S.J. and Anderson, J.D. and Ceriotti, M. and Bombardelli, C. (2007) Search space pruning and global optimization of multiple gravity assist trajectories with deep space manoeuvers. In: IEEE Congress on Evolutionary Computation (CEC), 2007-09-25 - 2007-09-28, Singapore.
Abstract
This paper deals with the design of optimal multiple gravity assist trajectories with deep space manoeuvres. A pruning method which considers the sequential nature of the problem is presented. The method locates feasible vectors using local optimization and applies a clustering algorithm to find reduced bounding boxes which can be used in a subsequent optimization step. Since multiple local minima remain within the pruned search space, the use of a global optimization method, such as Differential Evolution, is suggested for finding solutions which are likely to be close to the global optimum. Two case studies are presented.
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