In this work, we consider multiobjective space mission design problems. We will start from the need, from a practical point of view, to consider in addition to the (Pareto) optimal solutions also nearly optimal ones. In fact, extending the set of solutions for a given mission to those nearly optimal signiﬁcantly increases the number of options for the decision maker and gives a measure of the size of the launch windows corresponding to each optimal solution, i.e., a measure of its robustness. Whereas the possible loss of such approximate solutions compared to optimal—and possibly even ‘better’—ones is dispensable. For this, we will examine several typical problems in space trajectory design—a biimpulsive transfer from the Earth to the asteroid Apophis and two low-thrust multigravity assist transfers—and demonstrate the possible beneﬁt of the novel approach. Further, we will present a multiobjective evolutionary algorithm which is designed for this purpose.
|Number of pages||18|
|Journal||Journal of Aerospace Computing, Information, and Communication|
|Publication status||Published - Mar 2011|
- space mission design
- linear velocity