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Memetic strategies for global trajectory optimisation

Vasile, Massimiliano and Minisci, Edmondo (2009) Memetic strategies for global trajectory optimisation. In: Advances in Computation and Intelligence. Lecture Notes in Computer Science, 5821 . Springer-Verlag Berlin, Berlin, pp. 180-190. ISBN 978-3-642-04842-5

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Abstract

Some types of space trajectory design problems present highly multimodal, globally non-convex objective functions with a large number of local minima, often nested. This paper proposes some memetic strategies to improve the performance of the basic heuristic of differential evolution when applied to the solution of global trajectory optimisation. In particular, it is often more useful to find families of good solutions rather than a single, globally optimal one. A rigorous testing procedure is introduced to measure the performance of a global optimisation algorithm. The memetic strategies are tested on a standard set of difficult trajectory optimisation problems.

Item type: Book Section
ID code: 31135
Keywords: global trajectory optimisation, memetics, Mechanical engineering and machinery, Motor vehicles. Aeronautics. Astronautics, Aerospace Engineering, Computational Mechanics, Control and Systems Engineering, Control and Optimization
Subjects: Technology > Mechanical engineering and machinery
Technology > Motor vehicles. Aeronautics. Astronautics
Department: Faculty of Engineering > Mechanical and Aerospace Engineering
Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 09 Jun 2011 15:49
    Last modified: 06 Sep 2014 06:43
    URI: http://strathprints.strath.ac.uk/id/eprint/31135

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