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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
    Related URLs:
    Depositing user: Ms Katrina May
    Date Deposited: 01 Jun 2010 15:49
    Last modified: 06 Jun 2014 21:24
    URI: http://strathprints.strath.ac.uk/id/eprint/20156

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