In this work, an algorithm for optimization is proposed, inspired by the principles of Quantum Mechanics. The algorithm is based on the Diffusion Monte Carlo method, commonly used for the computation of ground states of many-particles systems. The optimization problem is reconducted to sampling the ground state wave function of a particle subject to a potential based on the function to be minimized. The algorithm is applied to the problem of transfer between circular orbits and compared to the results in the literature. Then it is applied to the problem of rendezvous with the asteroid Pallas and compared to the results of Particle Swarm Optimization algorithm.

Quantum-inspierd diffusion monte carlo optimization algorithm applied to space trajectories / De Grossi, F.; Circi, C.. - (2021). ((Intervento presentato al convegno 31st AAS-AIAA Space Flight Mechanics Meeting tenutosi a on line.

Quantum-inspierd diffusion monte carlo optimization algorithm applied to space trajectories

De Grossi F.;Circi C.
2021

Abstract

In this work, an algorithm for optimization is proposed, inspired by the principles of Quantum Mechanics. The algorithm is based on the Diffusion Monte Carlo method, commonly used for the computation of ground states of many-particles systems. The optimization problem is reconducted to sampling the ground state wave function of a particle subject to a potential based on the function to be minimized. The algorithm is applied to the problem of transfer between circular orbits and compared to the results in the literature. Then it is applied to the problem of rendezvous with the asteroid Pallas and compared to the results of Particle Swarm Optimization algorithm.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1573089
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