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Approximate solutions in space mission design

Schütze, Oliver and Vasile, Massimiliano and Coello Coello, Carlos A. (2008) Approximate solutions in space mission design. In: Proceedings of the 10th international conference on Parallel Problem Solving from Nature. Lecture Notes in Computer Science, 5199 . Springer-Velag, Berlin, Heidelberg, Berlin, pp. 805-814. ISBN 9783540876991

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Abstract

In this paper, we address multi-objective space mission design problems. We argue that it makes sense from the practical point of view to consider in addition to the 'optimal' trajectories (in the Pareto sense) also approximate or nearly optimal solutions since this can lead to a significant larger variety for the decision maker. For this, we suggest a novel MOEA which is a modification of the well-known NSGA-II algorithm equipped with a recently proposed archiving strategy which aims for the storage of the set of approximate solution of a given MOP. Using this algorithm we will examine several space missions and demonstrate the benefit of the novel approach.

Item type: Book Section
ID code: 31143
Keywords: ant colony optimization , artificial life , adaptive systems, algorithmic learning , space mission , design solutions, Mechanical engineering and machinery, Motor vehicles. Aeronautics. Astronautics, Aerospace Engineering, Computational Mechanics, Artificial Intelligence
Subjects: Technology > Mechanical engineering and machinery
Technology > Motor vehicles. Aeronautics. Astronautics
Department: Faculty of Engineering > Mechanical and Aerospace Engineering
Depositing user: Pure Administrator
Date Deposited: 25 Aug 2011 14:57
Last modified: 21 May 2015 19:21
Related URLs:
URI: http://strathprints.strath.ac.uk/id/eprint/31143

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