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Hybrid behavioural-based multi-objective space trajectory optimization

Vasile, Massimiliano (2009) Hybrid behavioural-based multi-objective space trajectory optimization. In: Multi-Objective Memetic Algorithms. Studies in Computational Intelligence, 171 . Springer Berlin Heidelberg, pp. 231-253. ISBN 978-3-540-88050-9

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In this chapter we present a hybridization of a stochastic based search approach for multi-objective optimization with a deterministic domain decomposition of the solution space. Prior to the presentation of the algorithm we introduce a general formulation of the optimization problem that is suitable to describe both single and multi-objective problems. The stochastic approach, based on behaviorism, combinedwith the decomposition of the solutions pace was tested on a set of standard multi-objective optimization problems and on a simple but representative case of space trajectory design.

Item type: Book Section
ID code: 40386
Keywords: global optimization, genetic algorithm, space trajectory design, multi-objective optimization, Mechanical engineering and machinery, Motor vehicles. Aeronautics. Astronautics, Aerospace Engineering, Computational Mechanics, Control and Systems Engineering
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: 09 Jul 2012 14:41
Last modified: 24 Jul 2015 12:28
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