Analysis of a hybrid genetic simulated annealing strategy applied in multi-objective optimization of orbital maneuvers

Over the several last decades, evolutionary algorithms have been widely used for parameter optimization in different engineering tasks. Engineering optimization has been widely involved in aerospace sciences because of its practicality in obtaining optimal solutions to different challenging problems including dynamics and control of nonlinear systems. Such fields contain different aspects of aerospace engineering including missile systems, unmanned aerial vehicles [8], and hypersonic aircrafts [9]. One of the problems specific to aerospace engineering is the optimization of orbital maneuvers for satellites and spacecraft [10], [11]. This problem requires heuristic search techniques in finding the optimal transfer strategy that minimizes some specific criteria like control effort [12] or fuel mass [13].