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Computing the set of Epsilon-efficient solutions in multiobjective space mission design

Schütze, Oliver and Vasile, Massimiliano and Coello Coello, Carlos A. (2011) Computing the set of Epsilon-efficient solutions in multiobjective space mission design. Journal of Aerospace Computing, Information, and Communication, 8 (3). pp. 53-70. ISSN 1542-9423

Vasile_M_Pure_Computing_the_set_of_epsilon_efficient_solutions_in_multi_objective_space_mission_design_Apr_2011.pdf - Preprint

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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.