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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
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    Depositing user: Pure Administrator
    Date Deposited: 25 Aug 2011 15:57
    Last modified: 07 Sep 2014 11:14
    URI: http://strathprints.strath.ac.uk/id/eprint/31143

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