Matteo Rosa Sentinella

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An accurate analysis of the behaviour of a differential evolution (DE) algorithm and a genetic algorithm (GA) when dealing with two problems concerning space trajectory optimisation is presented. Results show that, depending on the features of the problem, the comparison may produce different results, as GA can be better than DE in terms of efficiency,(More)
A hybrid evolutionary algorithm is applied to the optimization of space missions with multiple impulses and gravity assists. The optimization procedure runs three different optimizers, based on genetic algorithms, differential evolution and particle swarm optimization, in parallel; the algorithms are used synergistically by letting the best individuals,(More)
The indirect optimization method, which has been used at the Politecnico di Torino to compute the trajectories for the 1st and 2nd editions of the Global Trajectory Optimisation Competition, is presented. In particular, the general features of the optimization method, the numerical technique for the solution of the boundary value problem, and the procedure(More)
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