Abstract
A hybrid optimization algorithm, we call it Inflationary PSwarm Algorithm, is applied to solve the space trajectory design with gravity assists and multiple impulses. In this paper we will consider some simplified models proposed by the European Space Agency as test problems for global optimization. PSwarm is a pattern search method that incorporates a particle swarm scheme for dissemination of points in the feasible region in the (optional) search step. PSwarm is highly competitive with other global optimization methods based only on function values. An enhanced PSwarm with the capability of finding a global minimizer is proposed in this paper. The experiment results show the good performance obtained with our method and the improvement in terms of efficiency and computational cost.
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