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20192021
most citedA Time-Dependent TSP Formulation for the Design of an Active Debris Removal Mission using Simulated Annealing

9 citations · 25 across the 6 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

cs.LG2020★ 6 cited

Reinforcement Learning for Low-Thrust Trajectory Design of Interplanetary Missions

Alessandro Zavoli, Lorenzo Federici

This paper investigates the use of Reinforcement Learning for the robust design of low-thrust interplanetary trajectories in presence of severe disturbances, modeled alternatively…

cs.NE2020

EOS: a Parallel, Self-Adaptive, Multi-Population Evolutionary Algorithm for Constrained Global Optimization

Lorenzo Federici, Boris Benedikter, Alessandro Zavoli

This paper presents the main characteristics of the evolutionary optimization code named EOS, Evolutionary Optimization at Sapienza, and its successful application to challenging,…