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A systematic-heuristic approach for space trajectory design.

Massimiliano Vasile1

  • 1European Space Research Technology Centre (ESA/ESTEC), Keplerlaan 1, 2200 AZ, Noordwijk ZH, The Netherlands. massimiliano.vasile@esa.int

Annals of the New York Academy of Sciences
|June 29, 2004
PubMed
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A new space trajectory design algorithm merges systematic and heuristic methods for global optimization. This hybrid approach enhances efficiency and suggests potential for complex space mission applications.

Area of Science:

  • Aerospace Engineering
  • Computational Optimization
  • Algorithm Development

Background:

  • Space trajectory design is critical for mission success.
  • Global optimization is essential for finding optimal solutions in complex search spaces.
  • Existing methods may face challenges in efficiency and scope.

Purpose of the Study:

  • To propose a novel algorithm for space trajectory design.
  • To combine systematic and heuristic methods for global optimization.
  • To evaluate the performance of the proposed algorithm.

Main Methods:

  • A hybrid algorithm combining a branching technique (systematic) and evolution programming (heuristic).
  • Evolution programming is applied to subregions defined by the branching procedure.

Related Experiment Videos

  • Branching rules are dynamically adjusted based on optimization outcomes.

    • Main Results:

    • The combined systematic-heuristic global optimization algorithm demonstrates strong performance in analyzed cases.
    • The algorithm effectively explores solution spaces by integrating branching and evolutionary approaches.
    • Successful application in space trajectory design scenarios.

    Conclusions:

    • The proposed hybrid algorithm offers a powerful approach to global optimization in trajectory design.
    • The method shows promise for tackling more complex space mission challenges.
    • Further research can explore advanced applications and refinements of the algorithm.