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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

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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.