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The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including those from the School of Psychological Sciences & Health - but also papers by researchers based within the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

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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.

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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.