Strathprints logo
Strathprints Home | Open Access | Browse | Search | User area | Copyright | Help | Library Home | SUPrimo

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

[img]
Preview
PDF - Published Version
Download (1042Kb) | Preview

    Abstract

    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
    Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 09 Jul 2012 15:41
    Last modified: 06 Sep 2014 18:26
    URI: http://strathprints.strath.ac.uk/id/eprint/40386

    Actions (login required)

    View Item

    Fulltext Downloads: