Global Optimization Approaches for Optimal Trajectory Planning

Andrea Cassioli (), Dario Izzo (), David Lorenzo (), Marco Locatelli () and Fabio Schoen ()
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Andrea Cassioli: Università di Firenze
Dario Izzo: Advanced Concepts Team, European Space Agency
David Lorenzo: Università di Firenze
Marco Locatelli: Università di Parma
Fabio Schoen: Università di Firenze

Chapter Chapter 5 in Modeling and Optimization in Space Engineering, 2012, pp 111-140 from Springer

Abstract: Abstract Optimal trajectory design for interplanetary space missions is an extremely hard problem, mostly because of the very large number of local minimizers that real problems present. Despite the challenges of the task, it is possible, in the preliminary phase, to design low-cost high-energy trajectories with little or no human supervision. In many cases, the discovered paths are as cheap, or even cheaper, as the ones found by experts through lengthy and difficult processes. More interestingly, many of the tricks that experts used to design the trajectories, like, e.g., traveling along an orbit in fractional resonance with a given planet, naturally emerge from the computed solutions, despite neither the model nor the solver have been explicitly designed in order to exploit such knowledge. In this chapter we will analyze the modelling techniques that computational experiments have shown to be most successful, along with some of the algorithms that might be used to solve such problems.

Keywords: Global optimization; Basin hopping; Trajectory planning (search for similar items in EconPapers)
Date: 2012
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DOI: 10.1007/978-1-4614-4469-5_5

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