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Search space pruning and global optimization of multiple gravity assist trajectories with deep space manoeuvers

Becerra, Victor M. and Nasuto, Slawomir J. and Anderson, James D. and Ceriotti, M. and Bombardelli, Claudio (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.

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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.

Item type: Conference or Workshop Item (Paper)
ID code: 20156
Keywords: optimal multiple gravity assist trajectories, deep space manoeuvres, local optimization, global optimization method, differential evolution, Mechanical engineering and machinery, Motor vehicles. Aeronautics. Astronautics
Subjects: Technology > Mechanical engineering and machinery
Technology > Motor vehicles. Aeronautics. Astronautics
Department: Faculty of Engineering > Mechanical and Aerospace Engineering
Depositing user: Ms Katrina May
Date Deposited: 01 Jun 2010 14:49
Last modified: 15 Apr 2015 09:41
Related URLs:
URI: http://strathprints.strath.ac.uk/id/eprint/20156

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